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Senior Data Scientist

This is a director level position focused on supporting the business and analytical teams. The ideal candidate will have an extensive background in math and probabilities and advanced analysis expertise. A successful candidate will be passionate about finding insights in data and using quantitative analysis to answer complex questions, with a collaborative and resourceful style. The right candidate will need to operate independently and flexibly, identifying opportunities for insightful analytics and responding rapidly to ad hoc requests. The company supports some of the world’s largest funds as an outsourced analytics and solutions provider. They are highly entrepreneurial, consistently evaluating different industries and markets for opportunities. Logical, linear thinking, and an ability to communicate rationale for analysis and defense of results will be important. RESPONSIBILITIES: Execute projects end-to-end, starting with problem formulation, solution architecture, as well as product implementation and integration Research, develop and code the company’s core statistical and machine learning models to conduct predictive and prescriptive modeling on the company’s data and available and relevant third-party data Integrate the outcomes as real time data products to elevate the company’s ability to provide enhanced pricing and forecasting for mortality-based assets and investments Synthesize facts, theories, trends, influences and key issues and/or themes in complex and variable situations Apply advanced math and statistical tools and programming languages to invent and evaluate algorithms/model designs to solve problems and guide business decisions Evaluate tools and techniques that can raise the level of analytics at the company QUALIFICATIONS: Masters / PhD degree in Computer Science, Statistics or Applied Math or related field required A minimum of 7 years’ experience in a technical role, including a minimum of 3 years in a data science role required Strong programming background in SQL Expert level knowledge of building algorithms in Python or R Experience deploying statistical (Logistic Regression, Time Series/ Survival Analysis, Bayesian) and machine learning (Decision Trees, SVM, Clustering) algorithms Interest in exploring and applying deep learning (CNN, RNN, GAN) to unstructured data Strong presentation and communication skills The following are considered pluses in an ideal candidate: Previous experience presenting or lecturing to large groups Experience working with large datasets using big data technologies (Spark, Hive, Hadoop)

/ Orange County, United States

Director Advanced Analytics

The CA Scaled Analytics team is an organization that serves as a Center of Expertise across the CA organization. The Global Analytic Methodology Center (GAMC) team within Scaled Analytics provides global advanced analytics driven support for critical business decisions and is also responsible for framing long term analytic strategies that grow analytics impact. The team specializes in the areas of Resource Allocation, Marketing Mix optimization and patient data analytics and is more generally responsible for advanced analytics driven consulting to novel business problems. The Director, Advanced Analytics is an advanced analytics SME who takes ownership of specific analytics methods and processes and leads their execution and evolution. ROLE RESPONSIBILITIES • Lead the evolution of analytics methods and processes at the enterprise level across key functional areas including marketing mix, resource optimization and field force design by appropriately leveraging recent advancements in analytical methods and tools • Be the CA Subject Matter Expert on the application of advanced analytics to solve challenging business problems that typically require a multidisciplinary analytical approach • Lead the execution of complex enterprise level analytical projects and communicate recommendations to senior commercial leaders • In close partnership with other CA leaders, be a thought partner in the space of advanced analytics for CA and commercial teams across regions • Advise other CA teams on methodology for execution of customized, novel and high priority analytical projects • Partner closely with other functions to develop roadmap for analytic infrastructure and to move capabilities from prototype to production Leadership • Lead planning and prioritization of advanced analytics services and change management with cross functional stakeholders • Lead matrixed project teams to execute analytical projects leveraging advanced analytics Performance Measures • Client and Partner Feedback • Demonstrable increase in analytics impact - measured by increase in capacity, response time and business value driven by analytics BASIC QUALIFICATIONS Education: • Advanced degree in analytics related areas including management science, business decision analysis, statistics/data science, economics, etc Experience: • 10+ years of strong multi-disciplinary advanced analytics experience, with a preference for pharma and /or consulting • 5+ years of experience in the space of marketing mix and resource optimization Technical skills and competencies: • Strong strategic, conceptual and analytical thinker with the ability to understand analytics needs, leverage learnings from other industries and use sophisticated analytical tools and techniques to build effective solutions. • Expertise with the application of statistics and data science techniques such as machine learning to solve business problems • Expertise conducting analysis in open source analytical programming languages - R and/or Python • Expertise in interactive analytics and data visualization • Demonstrated insight and understanding of the pharma health care space (physician-level prescribing, institutional sales data, payer-prescriber-level data, formulary data, patient-level data, etc.), trends, and issues combined with experience in the areas of marketing mix optimization and Field Force Sizing • Proven ability to recognize interactions between insights, identify trends, proactively recognize future business needs and link them to current and future analytics. • Exceptional communicator: Can readily align interpersonal style with the individual needs; can understand, translate, and distill complex, technical concepts to a layperson • Highly collaborative: Shares responsibility and credit; develops self and others through teamwork; comfortable working in global environment and across time zones • Strong at project management: Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently

/ New York, United States

Senior Manager Advanced Analytics

The CA Scaled Analytics team is an organization that serves as a Center of Expertise across the CA organization. The Global Analytic Methodology Center (GAMC) team within Scaled Analytics provides global advanced analytics driven support for critical business decisions and is also responsible for framing long term analytic strategies that grow analytics impact. The team specializes in the areas of Resource Allocation, Marketing Mix optimization and patient data analytics and is more generally responsible for advanced analytics driven consulting to novel business problems. The Senior Manager, Advanced analytics is an advanced analytics generalist who leverages a broad suite of advanced analytics capabilities to solve established and novel business problems. ROLE RESPONSIBILITIES • Develop and evolve analytic offerings that enhance commercial decision making across key functional areas including marketing mix and resource optimization, field force design • Solve unstructured business problems by designing and executing customized, novel and high priority analytical projects utilizing advanced analytical techniques • Partner with other CA teams to govern execution of regular and standardized deliverables such as ROI and field force sizing analyses • Provide a holistic perspective that commercial and CA teams can use to guide business decisions by synthesizing analytics results and trends across brands, portfolios, business units, and markets • Build and operate assets that support analytics democratization Leadership • Lead matrixed project teams to execute analytical projects leveraging advanced analytics Performance Measures • Client and Partner Feedback • Demonstrable increase in analytics impact - measured by increase in capacity, response time and business value driven by analytics BASIC QUALIFICATIONS Education: • Degree in analytics related areas including management science, business decision analysis, statistics/data science, economics, finance etc Experience: • 5+ years of strong analytics experience, with a preference for experience in the pharmaceutical industry Technical skills and competencies: • Strong conceptual and analytical thinking combined with the ability to effectively understand analytics needs and build effective solutions. • Experience with the application of statistics and data science techniques such as machine learning to solve business problems • Expertise in conducting analysis in open source analytical programming languages R and/or Python and in data manipulation using SQL • Knowledge, insight and understanding of the pharma health care space (physician-level prescribing, institutional sales data, payer-prescriber-level data, formulary data, patient-level data, etc.) • Ability to solve unstructured business problems by designing and executing analytical projects • Good communicator: Can understand, translate and distill complex, technical concepts to a layperson • Highly collaborative: Works effectively with others on matrixed teams; comfortable working in global environment and across time zones • Project Management Skills: Able to effectively manage time and resources for self and a small matrixed team of peers NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS • Expected to participate in meetings in NY HQ and global time zones as necessary

/ New York, United States

Data Scientist

Position Summary: The Data Scientist, Revenue Management is responsible for support the development of all decision support tools/models used by revenue management team and for executing them efficiently. This employee will also perform regular statistical analysis and present results to senior leadership in a business format to assist in decision making and analysis. Essential Duties and Responsibilities: Design and develop models and algorithms that drive performance and provide insights, from prototyping to production deployment, across key areas of interest (e.g., APD optimization, Load Factor optimization, Cabin mix, channel mix) Design rich data visualizations to communicate complex ideas to internal and external teams. Execute various components of Data Science Life cycle: Data Wrangling, Feature Engineering, Data Visualization (discovery), Model Generation, Implementation and Maintenance. Collaborate with other analytical teams in the company and IT to design, and implement analytical projects Continuously seek out opportunities to further develop our analytical, engineering, statistical, etc. toolkit & team Qualifications: Bachelor’s degree from four-year College or university required (in Operations Research, Industrial Engineering, Statistics, Management Science or related field). Candidate shall have demonstrated 1 to 3 years of (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical analysis techniques typical to exploratory data analysis. Equivalent combination of education and experience will be considered. Strong problem solver and natural curiosity to learn Candidate shall possess the necessary skills to write scripts in R or Python to conduct exploratory and advanced statistical analyses Candidate shall possess the skills necessary to clean and wrangle data Candidates shall possess the skills necessary to extract data from data warehouses. Candidate shall possess excellent oral and written communication skills with emphasis on complex technical and statistical topics and effectively communicating details with all levels of management Ability to contribute in multiple projects simultaneously with deadlines and manage changing priorities with minimal supervision and intervention

/ Miami, United States

Magento Developer

We are seeking a Magento E-Commerce Administrator/Developer to manage our new E-Commerce site. This position requires a solid understanding of both Magento 1.9 and 2.x open source (community) and Enterprise site administration. Development experience is a plus. You will be responsible for the implementation of new features and maintenance of the website. You will also work closely with digital marketing team and third-party developers to implement new features as the site evolves. This position requires a person that can work in a fast-paced environment. This role is best suited for Magento site administrator with some development experience or a Magento Developer with site administration experience. Day-to-day management of E-Commerce site operations Serve as the first response for all technical issues regarding the website. Develop, maintain and improve guidelines for site administration Monitor and resolve site availability and performance issues with hosting provider Monitor and maintain PCI compliance and security policies Collaborate with developers to implement new features and contents Coordinate with third party developers to implement additional features Plan and execute minor code edits as needed Assist with implementing digital marketing campaigns and projects requirements Essential and Key Responsibilities include but are not limited to: Develop and maintain technical documentation including both design and functional documents Perform a mix of new software development enhancements and defect resolution as required Implement project applications according to specifications Research technical issues and provide recommendations to enhance company web sites Work with external partners in the design and development of software solutions Identify and troubleshoot issues as needed Support research on emerging Magento software extensions standards and design patterns in support of development efforts Administer diagnostics to improve software stability and eliminate performance bottlenecks or security vulnerabilities REQUIREMENTS 2-5+ years of Magento Ecommerce development experience 2-5+ years’ developing PHP on top of Zend Advanced understanding of standard front-end development technologies: HTML5 CSS2.1/3 JavaScript JQuery JSON AJAX XML SOAP WSDL Working knowledge of development tools PHP Storm SourceTree GIT MySQL Workbench Demonstrated professional development experience with Web Services frameworks and RESTful API standards Strong understanding of MS-SQL and/or MySQL Excellent grasp of database design and normalization rules Experience extending or customizing existing products/frameworks such as Magento Strong debugging skills with the ability to reach out and work with internal and external stakeholders to solve complex problems Problem solving and time management skills Ability to work in both an individual and team-based environment Excellent written verbal and interpersonal skills Experience with Magento ERP or similar ERP system desired deploying & managing Magento extensions: 2 years Magento Enterprise site administration: 2 years MySQL, Microsoft SQL Server, Oracle Database: 1 year 2+ years of experience managing Magento Open source (community) Enterprise required Experience in deploying and managing Magento extensions (ShipperHQ, Shipwork, ERP, aheadworks, etc…) Must have excellent problem-solving skills Ability to manage multiple concurrent projects in our fast-paced Sarasota, FL office Strong organizational skills with attention to details College graduate or equivalent experience Experience with MySQL, Microsoft SQL Server, AWS, a plus Proficiency in Google Analytics, SEO, Digital marketing a plus Experience in ERP integration a plus Magento certification a plus AWS hosting monitoring using New Relic Preferred Skills: Bachelor’s in computer science or equivalent experience preferred Direct experience working in Agile software development methodology Good understanding of Web analytics and SEO techniques SEO experience eCommerce platform development experience Experience with Digital Media Delivery Platforms and Players desired Applicants should be comfortable taking directions from other team members, as well as being proactive in providing improvement suggestions and creative ideas independently. We are seeking a Magento E-Commerce Administrator/Developer to manage our new E-Commerce site. This position requires a solid understanding of both Magento 1.9 and 2.x open source (community) and Enterprise site administration. Development experience is a plus. You will be responsible for the implementation of new features and maintenance of the website. You will also work closely with digital marketing team and third-party developers to implement new features as the site evolves. This position requires a person that can work in a fast-paced environment. This role is best suited for Magento site administrator with some development experience or a Magento Developer with site administration experience. Day-to-day management of E-Commerce site operations Serve as the first response for all technical issues regarding the website. Develop, maintain and improve guidelines for site administration Monitor and resolve site availability and performance issues with hosting provider Monitor and maintain PCI compliance and security policies Collaborate with developers to implement new features and contents Coordinate with third party developers to implement additional features Plan and execute minor code edits as needed Assist with implementing digital marketing campaigns and projects requirements Essential and Key Responsibilities include but are not limited to: Develop and maintain technical documentation including both design and functional documents Perform a mix of new software development enhancements and defect resolution as required Implement project applications according to specifications Research technical issues and provide recommendations to enhance company web sites Work with external partners in the design and development of software solutions Identify and troubleshoot issues as needed Support research on emerging Magento software extensions standards and design patterns in support of development efforts Administer diagnostics to improve software stability and eliminate performance bottlenecks or security vulnerabilities REQUIREMENTS 2-5+ years of Magento Ecommerce development experience 2-5+ years’ developing PHP on top of Zend Advanced understanding of standard front-end development technologies: HTML5 CSS2.1/3 JavaScript JQuery JSON AJAX XML SOAP WSDL Working knowledge of development tools PHP Storm SourceTree GIT MySQL Workbench Demonstrated professional development experience with Web Services frameworks and RESTful API standards Strong understanding of MS-SQL and/or MySQL Excellent grasp of database design and normalization rules Experience extending or customizing existing products/frameworks such as Magento Strong debugging skills with the ability to reach out and work with internal and external stakeholders to solve complex problems Problem solving and time management skills Ability to work in both an individual and team-based environment Excellent written verbal and interpersonal skills Experience with Magento ERP or similar ERP system desired deploying & managing Magento extensions: 2 years Magento Enterprise site administration: 2 years MySQL, Microsoft SQL Server, Oracle Database: 1 year 2+ years of experience managing Magento Open source (community) Enterprise required Experience in deploying and managing Magento extensions (ShipperHQ, Shipwork, ERP, aheadworks, etc…) Must have excellent problem-solving skills Ability to manage multiple concurrent projects in our fast-paced Sarasota, FL office Strong organizational skills with attention to details College graduate or equivalent experience Experience with MySQL, Microsoft SQL Server, AWS, a plus Proficiency in Google Analytics, SEO, Digital marketing a plus Experience in ERP integration a plus Magento certification a plus AWS hosting monitoring using New Relic Preferred Skills: Bachelor’s in computer science or equivalent experience preferred Direct experience working in Agile software development methodology Good understanding of Web analytics and SEO techniques SEO experience eCommerce platform development experience Experience with Digital Media Delivery Platforms and Players desired Applicants should be comfortable taking directions from other team members, as well as being proactive in providing improvement suggestions and creative ideas independently.

Contract / Sarasota, United States

Mid-Level AEM Developer

Required skills Experience with AEM 6.0/6.2/6.3 Web2.0, HTML5/CSS3/Advanced JS Libraries/Plug-ins/ExtJS/GraniteJS Interest in exploring latest front end framework and design patterns Able to understand other digital marketing product integration ( Adobe Target, Adobe analytics etc.) Good Communication Open to handle day to day support and UI update requests Knowledge of CSS preprocessing/dynamic style sheet languages like LESS or SASS Nice to have Node/Angular DTM/TMS Good understanding of Marketing Automation platform like Eloqua or Marketo PSD to HTML conversion Required skills Experience with AEM 6.0/6.2/6.3 Web2.0, HTML5/CSS3/Advanced JS Libraries/Plug-ins/ExtJS/GraniteJS Interest in exploring latest front end framework and design patterns Able to understand other digital marketing product integration ( Adobe Target, Adobe analytics etc.) Good Communication Open to handle day to day support and UI update requests Knowledge of CSS preprocessing/dynamic style sheet languages like LESS or SASS Nice to have Node/Angular DTM/TMS Good understanding of Marketing Automation platform like Eloqua or Marketo PSD to HTML conversion

Contract / San Francisco, United States

Senior Manager, Scaled Analytics - Americas

ROLE RESPONSIBILITIES ? Develop and implement sound, objective secondary data analysis on marketing and field force promotional effort. ? Utilize consulting frameworks to structure and make recommendations on complex marketing and sales issues. ? Mine large pharmaceutical databases to identify opportunities, trend breaks or emerging issues. ? Provide expertise on utilizing secondary data (prescriber/institutional level, payer, longitudinal, specialty pharmacy, call activity, digital) for analysis and reporting. ? Determine key performance metrics and develop tracking reports on which to evaluate commercial initiatives. ? Partner with other Business Analytics colleagues to provide holistic insights based on available secondary and primary research. ? Proactively manage demand for Scaled Analytics services and ensure focus on high priority, high impact initiatives. BASIC QUALIFICATIONS ? Bachelor's degree required. ? 5-7 years as a sales/marketing quantitative analyst or in marketing/strategy consulting in the pharmaceutical industry. ? Significant hands-on experience analyzing large pharmaceutical secondary datasets (prescriber/institutional level, payer, patient / longitudinal, call activity) and developing analytical models. ? Experience in statistical modeling and analysis, machine learning and artificial intelligence. PREFERRED QUALIFICATIONS ? Advanced degree in quantitative field or quantitative MBA is preferred. ? Experience in one or more of the following areas preferred: field force sizing, targeting, promotion response.

/ New York City, United States

Sr. Application (ETL) Developer

POSITION: Senior Application Developer - ETL DEPARTMENT: Enterprise Technology Partners REPORTS TO: Director, Enterprise Information Development MATRIXED RELATIONSHIP: TBD PREFERRED LOCATION: Dallas, TX POSITION SUMMARY: The Senior Application Developer’s role is to provide technical direction in the development and support of the Extract, Transform and Load (ETL) aspects of the data warehouse. Maintains an understanding of the inputs received from the data source providers. Performs analysis, design, development, and implementation of new ETL requirements. Recommends changes to enhance the data warehouse data cleansing and conversion processes. Supports testing and validation of the new data conversion processes. Responsible for planning, estimation and monitoring schedule milestones and deliverables for assignments. Possesses strong SDLC experience and manages appropriate levels of systems documentation as required. Create Data Pipeline and ETL solutions, delivering trusted, high quality data to the business. Senior Application Developer will also be responsible to deliver support to end users in the organization for specific software applications. This includes troubleshooting applications (providing Level Two support) and software for all internal end users and external customers to resolve trouble issues per documented trouble tickets. The responsibilities for this role are: ? Collaborate with business analysts and subject matter experts to design and implement data integration solutions ? Create solutions using standards, best practices to increase reliability, performance, simplicity, and overall quality of Data Pipelines ? Provide resolution to an extensive range of complicated ETL-related problems, proactively and as issues surface. ? Performance tuning of ETL jobs and related components ? Report on, Measure, and Monitor Data Pipeline availability and performance to ensure KPIs and SLAs are met ? Identify application bottlenecks and opportunities to optimize performance ? Informatica PowerCenter 10.x configuration and support including installation, upgrades, performance tuning, etc. ? Perform code version control activities REQUIRED SKILLS ? Expert understanding of BI/DW system architectures, methodologies and data modeling ? Current and hands-on experience with Informatica PowerCenter 9.x and higher on Unix platforms ? Hands-on experience with AWS Redshift ? Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshooting ? Problem-solving skills with minimal supervision ? Ability to work independently or in a team environment with geographically dispersed teams at various times DESIRABLE SKILLS ? Informatica Cloud ? Informatica Big Data Edition ? Informatica PowerCenter Adminstration ? Big Data (Hadoop and Hive/Impala) – Cloudera Distribution EDUCATION ? High School diploma, GED or vocational training Required ? Bachelor’s or Technical Degree Preferred (computer science, information systems, business administration or other industry related curriculum) Note: Sufficient and relevant work experience may be considered in lieu of the educational requirements EXPERIENCE ? 7 or more years of work experience in delivering data integration solutions using ETL tools such as Informatica PowerCenter on Unix platforms ? 5 years of current and hands-on experience with complex SQL and high-volume Relational databases and SQL Query performance tuning ? 3 years of current and hands-on UNIX shell scripting experience. ? 3 years of current and hands-on experience with an enterprise job scheduler (Control-M, Autosys, Redwood, etc). ? 1 plus years in AWS Redshift, S3, EC2 TRAVEL ? Domestic travel, approximately less than 25%

/ Dallas, United States

Principal Application (ETL) Developer

POSITION: Principal Application Developer DEPARTMENT: Enterprise Technology Partners REPORTS TO: Director, Information Development MATRIXED RELATIONSHIP: TBD PREFERRED LOCATION: Dallas, TX POSITION SUMMARY: The Principal Application Developer’s role is to provide advanced technical skills and leadership in the design, development, monitoring, and use of the company’s enterprise data warehouse. He/she will be accountable for the full cycle of design, data modeling, coding, testing and documentation of the enterprise data warehouse. He/she must work with the business to fully understand the business requirements and translate them into technical specifications. This individual is also responsible for defining coding standards in the development of the extraction, transformation and load (ETL) processes for the data warehouse and working with the Database ETL Developers to ensure those standards are followed. He/she must also demonstrate a willingness to work with and mentor associates of varying levels of technical expertise within the organization. Above all, this individual makes certain that the data warehouse design and ETL processes meet our business objectives while ensuring data integrity and security. RESPONSIBILITIES: ? Data architecture and design ? Act as SME for specified applications ? Review BRDs and provide LOE for deliverables ? Manage small to medium-sized data integration projects ? Assist in knowledge transfer activities ? Provide ETL Development expertise and data warehousing best practices and tools using Informatica Version 9.6 and above. ? Adhere to ETL design standards, procedures and best practices in Informatica; transformations, mappings, sessions, workflows, implementing business rule as per requirement, building RTM, data model documentation and data integration strategy. ? Development of Source-to-Target mapping design specifications, data dictionaries, review database schemas ? Develop and test Extract, Transformation, and Loading (ETL) modules based on design specifications using Informatica Version 9.5x and above. ? Develop, maintain knowledge of data available from upstream sources and data within various ? Review of Informatica ETL design documents and working closely with development to ensure correct standards are followed. This could be automated using mappings to parse code and report on exceptions. ? Mentor peers in building skills ? Assist in resolving complex data and application issues ? Performance tuning of Informatica mappings, SQL queries ? Support development teams with troubleshooting issues. On Call Support as required ? Scheduling jobs through scheduling tool (i.e. Control-M, Robot) for monthly and daily job cycles. ? Root Cause analysis for ETL job failures/Data issues raised by business. REQUIRED SKILLS INCLUDE: ? Expert understanding of BI/DW system architectures, methodologies and data modeling ? Current and hands-on experience with Informatica PowerCenter 9.6 and higher on Unix platforms ? Strong Unix shell scripting ? Proficiency in RDBMS, complex SQL, PL/SQL, performance tuning and troubleshooting ? Problem-solving skills with minimal supervision ? Demonstrated skill and ability in the development of data warehouse projects/applications ? Strong analytical skills and eagerness to learn domain and functional aspects ? Excellent communication skills, both verbal and written ? Analytical and problem solving ? Proficient verbal and written communication ? Mentorship ? Team building & Collaboration ? Organizational and Time Management ? Effectiveness in both independent and collaborative settings ? Ability to understand a complex application portfolio and integration of systems in facilitating business operations ? Ability to work independently or in a team environment with geographically dispersed teams at various times Nice to have: ? AWS Redshift, S3, EC2 ? Informatica Cloud ? Informatica Big Data Edition ? Informatica PowerCenter Adminstration ? Big Data (Hadoop and Hive/Impala) – Cloudera Distribution EDUCATION ? Bachelor’s or Technical Degree Required (computer science, information systems, business administration or other industry related curriculum) Note: Sufficient and relevant work experience may be considered in lieu of the educational requirements EXPERIENCE ? 8 or more years of work experience in delivering data integration solutions using ETL tools such as Informatica PowerCenter on Unix platforms ? 5 years of current and hands-on experience with complex SQL and high-volume Relational databases and SQL Query performance tuning ? 3 years of current and hands-on UNIX shell scripting experience. ? 3 years of current and hands-on experience with an enterprise job scheduler (Control-M, Autosys, Redwood, etc). ? 1 plus years in AWS Redshift, S3, EC2 or Big Data (Hadoop and Hive/Impala) TRAVEL ? Domestic travel, approximately less than 25%

/ Dallas, United States

Power BI Analyst

Job Description – PBI Analyst –Reporting Group (JC Security Solutions) Summary – The Analyst will be responsible for designing reports and analytic solutions, gathering reporting requirements and documenting business processes as needed. The analyst will handle ad-hoc data requests, develop dashboards and scorecards in Power BI, complex reports using SSAS and SSRS, write SQL/T-SQL queries and make sure the output data meets expectations. The analyst will work independently with users to collect enterprise and customer reporting requirements and manage timelines and expectations. Also engages with other teams, departments and stakeholders to make sure all the reporting solution development requirements are well documented, fully understood and delivered per expectations. The analyst will perform data mining, trend/predictive analysis and statistical analysis leading to decision support capabilities. JOB RESPONSIBILITIES: ? Design and develop Scorecards and Dashboards using Power BI and other data visualization tools for various organizational metrics and KPIs. ? Create new reports and modify existing reports using industry standards and best practices. ? Perform ad-hoc data analysis and manual data refreshes. ? Elicit business requirements from Subject Matter Experts using interviews, document analysis and requirements workshops. ? Use the gathered requirements to develop logic for reporting, analytics or IT application support. ? Develop manual/automated reporting programs using data from in-house systems or other data marts. ? Creates reports using SQL Server (2008, 2012, 2016) environment with an In-depth understanding of the report life cycle. ? Perform statistical analysis, build predictive models, and formulate decision models that relate operational activities to results; to drive value stream enhancement and continuous improvement. ? Understand data standards and identify data abnormalities. Instill data quality in all solutions delivered. ? Engage with IT to transform existing solutions to new methodology and technology. Liaise with IT to manage process of data mapping, UAT testing, etc. ? Maintain close alignment with all customers (internal, external, management and at the field level) and other data reporting teams to ensure requirements are being met. EDUCATION & EXPERIENCE: ? Bachelor degree or higher from a reputed university in engineering, IT, economics, math, statistics, science or other related fields in quantitative or analytical discipline. ? Minimum 5 years of experience in related business analyst or data/reporting analyst roles. SKILL: ? Excellent skill level in SQL, PL/SQL. ? In-depth experience with Microsoft analytics Stack (SQL Server, SSAS Tabular, Power BI, Power Query, DAX, SQL and T-SQL) o Advanced knowledge Power BI. o Proficient in DAX, M language. o Experience in Extraction, and Transformation and Loading (SSIS) o Experience in Tabular/OLAP Model (Microsoft SSAS) ? In-depth experience with Associated Development Tools - Visual Studios Data Tools, SQL Server Management Studio, SQL Server Data Tools, Microsoft TFS. ? Knowledge of working with database client tools such as Toad. ? Knowledge of Data Mining, Clustering & Statistical Modelling (preferred). ? Database Design. Excellent skill level in relational database required. Oracle, MS SQL Server knowledge. ? Proficient in Microsoft Office Suite and O365. ? Superior documentation and organizational skills. Must be detail oriented. ? Excellent critical-thinking skills with the ability to research and analyze data retrieved from multiple sources ? Must possess and demonstrate excellent verbal, written, and interpersonal communications skills. ? Must be an adaptable self-starter and work with minimal supervision. Must be able to handle multiple projects and organize time effectively. ? Must be willing to put in extra time and effort if need be. Go above and beyond the requirements of the job and strive to exceed expectations.

/ Boca Raton, United States

Digital Marketing - Practice Director

Digital Marketing - Practice Director Responsibilities: As a core leader of the Digital Marketing consulting practice, lead the way for solution enablement on clients’ digital programs in the content management, personalization and website development space, with a strong focus on the Adobe product-line along-side Adobe AEM As the digital technology expert, work with sales team in client proposals and sales pitch against a pre-defined, assisted revenue target for bringing in new business in the Adobe space Leads with ideas on accelerators, building innovative IP solutions based on best standards and frameworks to showcase Become a good listener, understands client business problems and provides technology solutions Build prototypes, presentation decks, writing POV papers About 30% travel required Required Skills: Technical expert on all things digital and the Adobe space (AEM, personalization, analytics) Self-motivated individual who likes to take charge with 12 to 15 years of experience required, 5+ years on Adobe AEM (version 6 onwards) Wears several hats - Solution architect, Technical sales, Management and Delivery as required Understands technology as well as the business side of client's digital needs (what, why and how) Understands best practices, coding frameworks and evangelizes the value of automation, artificial intelligence and solution accelerators Strong Adobe background, Adobe AEM certification preferred Past/present general technical architecture background will be great with a good understanding of the I.T big picture Good broad understanding of how other technologies complement CMS is valuable e.g. AngularJS or Node.JS, Microservices, DevOps, Jenkins and CI/CD toolchain Consulting background preferred, agency background will be a solid plus Must have worked in Agile projects Strong communication skills, effectively conveying and influencing point of views to clients through presentations decks, papers, etc. Good understanding of web and mobile technologies

/ Pleasanton, United States

Sr Magento Front-End Engineer

Responsibilities and duties The Magento 2 Front End Engineer is primarily responsible for producing quality, on-budget, and on-schedule solutions on projects. Responsibilities and duties include: Creatively solve complex problems Development on the Magento 2 platform Develop custom extensions to be released as third-party add-ons Contribute to internal initiatives such as improving our development processes Qualifications and skills Must have Magento 2 frontend examples Understanding of KnockoutJS Expert experience in HTML and CSS Expert Javascript Experience Strong understanding of Frontend Architecture Relocation to Charleston SC, is preferred but would allow remote if they are extremely strong. Preferred certification is Magento 2 Certified Professional Frontend Developer

/ Charleston, United States

Sr Magento Developer

Minimum 3-4 years of experience including 2 years in Magento Job Description – One should have sound knowledge of Magento framework, (2 years in Magento out of total experience). Should be currently working on Magento. Proficient in PHP/MySql One should have very good analytical and debugging skills. Good understanding of front end technologies such as jQuery/Dojo, HTML5, CSS3, Javascript. Work Area in Magento :- · Theme Integration · Design correction · Version upgrade · Module development · Handling new project with functionality. · Very strong with REST & other Magento web service implementations & customizations · Magento 2 Framework understanding Desired profile Must have skills: PHP, Mysql, Magento Have good knowledge of: jQuery, Bootstrap, HTML5, CSS3

/ Grosse Pointe, United States

Magento Architect

Location: Lake County, Chicago (North) Duration: Perm Job Description: As a Technical Architect, responsible for interpreting client requirements, business processes, and use cases to produce quality technical designs in the implementation, enhancement and support of Magento-centric eCommerce projects. Provide guidance and oversight to development teams to ensure that both the process is followed and the solution that is delivered is consistent with client development policies and standards. Closely work with clients to understand their business and their existing technologies, and using your knowledge of Magento, web applications and integration techniques, design a complete solution for the integration, extension or enhancement of the Magento platform. As part of a project team, work with project teams to turn client requirements into use cases and tasks with technical specifications. You will work with the project tech leads to assign those tasks to the project team, run sprint planning meetings, and participate in the project scrum meetings. Act as Magento subject matter expert and share knowledge with the team and help mentor newer developers. You are expected to stay abreast of web technologies and share new ideas and techniques that are relevant to the eCommerce space. You will also be asked to participate in internal process improvements to our software development life cycle. Generally you will not be writing code, but are expected to fully understand code and help developers troubleshoot code issues and algorithms, as well as how to leverage object oriented techniques. As a Technical Architect, you will participate in the sales presales process, communicating with prospective clients about our processes, potential architectures for their solutions, and estimating level of effort for projects Travel and coordination with offshore teams Required Skills: - 7+ years of software development experience - 2+ years of experience with the Magento 2 platform - 2+ years of experience in a client facing role - 2+ years of experience leading project teams, experience working with offshore teams a plus - Deep understanding of the software development lifecycle, and different approaches to it - Ability to learn new skills quickly - Able to work independently with minimal supervision - Strong problem-solving skills - Strong communication skills

/ Grosse Pointe, United States

Senior Magento Lead / PHP Full Stack Developer

Senior Magento Lead / PHP Full Stack Developer Seeking a Certified Senior Magento Lead / PHP Full Stack Developer for a key role in the launch of a new eCommerce store. Skills required: • 8+ Years of experience with object-oriented languages: Java, C#, PHP • 6+ Years of experience in e-commerce systems with focus on scalable distributed systems • 6+ Years building Magento extensions and use of the admin panel. • 4+ Years of experience developing complex integration between user-facing front end system and back end supporting applications • Preferred working experience coding, using and designing REST API’s • Experience in Magento 2.x • Proven discipline following coding standards and best practices for PHP based development. • Develop and maintain technical documentation including both design and functional documents • Perform a mix of new software development, enhancements and defect resolution as required • Implement project applications according to specifications • Research technical issues and provide recommendations to enhance company web sites • Work with external partners in the design and development of software solutions • Mentor junior development staff in Magento and PHP related technologies • Identify and troubleshoot issues as needed • Support research on emerging Magento software extensions, standards, and design patterns in support of development efforts • Cultivate and disseminate knowledge of Magento development best practices • Liaise with network administrators, system analysts, programmers, and business stakeholders to resolve any defects • Administer diagnostics to improve software stability and eliminate performance bottlenecks or security vulnerabilities

Contract / Winston Salem, United States

Sr/Lead AEM Developer

Job Summary Leads the development of cost-effective information technology solutions by creating new, and modifying existing, software applications. Analyzes complex systems requirements, existing business processes, and information systems. Codes, tests, and debugs documents, and implements software applications. Undertakes complex projects requiring additional specialized technical knowledge. Coordinates with users to determine requirements that are more complex. As a senior web developer, candidate will deliver fully-functional front-end code and will provide dev-team oversight to the coding of complex web projects. Responsible for authoring and enforcing web front-end development best practices and standards. Establish and oversee a code-governance model to ensure back-end development practices are routinely adhered-to. Technical mentoring of project developers; routinely hosting peer-to-peer code review sessions to ensure optimal code performance. Technical oversight of the full development life cycle across vision, design, and execution. Works collaboratively with key business stakeholders, designers, and architects to translate concepts into tangible code deliverables. Basic Qualifications Bachelor's degree and eight years related work experience or twelve years related work experience post high school Three years systems development experience Three years coding experience Three years software application experience Preferred Qualifications Expert at hands-on coding JavaScript frameworks and patterns. Proficient with open source web frameworks. Seasoned experience with content management systems such as Adobe Experience Manager (AEM). Proven lead-developer experience with expert ability to hands-on code web solutions through the full SDLC. Experience supervising web developers while in parallel delivering clean web code under tight deadlines. Experience integrating with RESTful APIs; knowledge of MuleSoft AngularJS; RxJs frameworks Expert level JavaScript (ES5/ES6) Proven expertise in design patterns Expert HTML/HTML5 Expert CSS3; Flux Angular 4 Git Bitbucket; Jenkins; SonarQube; Jira Excellent verbal and written communications skills.

/ Overland Park, United States

Magento/Wordpress Developer

Seeking a Magento/Wordpress Developer! An ideal candidate is someone who is passionate about designing, coding and modifying websites and is an extremely effective communicator. The web developer position will play an essential role in designing and maintaining our client’s e-commerce and digital marketing proposals/initiatives. Your Character: Natural & Effective Communicator Extremely Organized Handles Stress Well Respectful Good Teammate to other very talented people. Problem Solver Your Responsibilities: Maintain existing E-commerce platforms and administer changes to user interface and/or back-end data architecture database (Shopify, Wordpress/WooCommerce, Magento) Design and develop new functionality enhancements for E-Commerce websites Assist the Marketing & Sales team, from a technical aspect, in relation to all parts of E-commerce systems Identify and resolve systems issues across multiple platforms Perform quality assurance tests and find the cause of the problem when performance is not meeting standards. Required to execute and apply solutions for problems encountered. Stay current on emerging technologies and platforms with the goal of applying these technologies to current and future projects Perform updates and maintenance on high volume e-commerce website and servers Assist in troubleshooting E-Commerce EDI issues with partner sites Contribute to designing, implementing, and maintaining continuous integration and automated deployment systems and processes Qualifications Required: Extensive knowledge of Wordpress, Shopify and Magento E-commerce software(s) and platform(s) required Strong command of web programming languages including JavaScript, HTML, HTML5, CSS3, JQuery, PHP, Ajax Expertise in server side .PHP programming Proficiency in database structure, design optimization, and maintenance in MySQL Strong UI/UX skills Experience setting up and operating PHP/MySQL test server Commitment to building and designing for excellent user experience Extensive knowledge of website design, hosting and routing on public domain Experience in diagnosing and troubleshooting issues, bug fixes and site improvements Experience in working in collaborative, cross-functional team environments Tools You've Used: Instapage Wordpress Shopify Magento Instagram, Facebook, Twitter, Snapchat, YouTube, Reddit Google Drive & Google Calendar Trello Slack DropBox Photoshop, Canva, Illustrator Sketch, inVision Premier, Lumen 5 Seeking a Magento/Wordpress Developer! An ideal candidate is someone who is passionate about designing, coding and modifying websites and is an extremely effective communicator. The web developer position will play an essential role in designing and maintaining our client’s e-commerce and digital marketing proposals/initiatives. Your Character: Natural & Effective Communicator Extremely Organized Handles Stress Well Respectful Good Teammate to other very talented people. Problem Solver Your Responsibilities: Maintain existing E-commerce platforms and administer changes to user interface and/or back-end data architecture database (Shopify, Wordpress/WooCommerce, Magento) Design and develop new functionality enhancements for E-Commerce websites Assist the Marketing & Sales team, from a technical aspect, in relation to all parts of E-commerce systems Identify and resolve systems issues across multiple platforms Perform quality assurance tests and find the cause of the problem when performance is not meeting standards. Required to execute and apply solutions for problems encountered. Stay current on emerging technologies and platforms with the goal of applying these technologies to current and future projects Perform updates and maintenance on high volume e-commerce website and servers Assist in troubleshooting E-Commerce EDI issues with partner sites Contribute to designing, implementing, and maintaining continuous integration and automated deployment systems and processes Qualifications Required: Extensive knowledge of Wordpress, Shopify and Magento E-commerce software(s) and platform(s) required Strong command of web programming languages including JavaScript, HTML, HTML5, CSS3, JQuery, PHP, Ajax Expertise in server side .PHP programming Proficiency in database structure, design optimization, and maintenance in MySQL Strong UI/UX skills Experience setting up and operating PHP/MySQL test server Commitment to building and designing for excellent user experience Extensive knowledge of website design, hosting and routing on public domain Experience in diagnosing and troubleshooting issues, bug fixes and site improvements Experience in working in collaborative, cross-functional team environments Tools You've Used: Instapage Wordpress Shopify Magento Instagram, Facebook, Twitter, Snapchat, YouTube, Reddit Google Drive & Google Calendar Trello Slack DropBox Photoshop, Canva, Illustrator Sketch, inVision Premier, Lumen 5

/ Doral, United States

Sr. Data Analyst

Position Summary: The Senior Manager, Product Engineering will oversee new technology delivery, maintenance and the future engineering roadmap for multiple sets of features / product areas. The Senior Manager, Product Engineering role will partner closely with the Product and Creative divisions on developing the best solutions for the business and providing Guest experience which is best in the industry. Essential Duties and Responsibilities: · Builds highly talented, top-performing, efficient, autonomous engineering teams · Contributes to larger engineering organizational initiatives and future direction · Oversees one or more engineering managers · Oversees industry leading end-to-end enterprise software engineering, including native mobile application development, web development, back-end APIs, database · Develops talent and participates in professional growth of direct reports · Determines technical roadmap for product vertical · Fosters great business relationships by partnering with key stakeholders and cross functional leadership teams · Reviews and participates in key architecture decisions · Pushes for continuous improvement of talent, process and technology · Automates tools, processes and technology to allow for greater engineering throughput, quality and progress · Supports and troubleshoots production issues Qualifications: · Bachelors, Computer Science or equivalent. Knowledge and Skills: · Mobile application development – iOS, Android, hybrid · Web application development – Angular, Node, HTML, CSS · Back End API Development – Microservices, Java · Database Development & Administration · Manages distributed teams · Managed services, IAAS, PAAS · Application performance tuning (incl. mobile-specific tuning) · Continuous Integration / Continuous Delivery · Cloud technology, AWS preferred – Route53, ELB, EC2 (incl. reserved instances), S3, RDS, CloudFront, Elasticache, AutoScaling, Lambda, cost optimization · Canary Deployments · Computer Science Fundamentals · Offline support and highly resilient applications, chaos testing · Test Automation · Unit Testing · Monitoring · Site reliability engineering · Application Security Work Environment: · Inside office, shipboard, occasional travel

/ New York, United States

Data Scientist

Position Summary: We are seeking a talented, experienced and inquisitive Data Scientist to design and implement cutting edge solutions across a breadth of domain areas. The ideal candidate is well grounded in a mathematical, statistical and probability background, with a broad knowledge of machine learning techniques and cognitive services. This Data Scientist will focus on architecting, deploying and evaluating the performance of predictive solutions as part of a growing Data Science team. This individual will work with a multidisciplinary team of driven people to deliver end to end solutions that improve guest experience and address pain points of the business across applications such as Metrics Forecasting, Custumor Behavior Prediction, Clustering, Regression, Deep Learning, Model Maintenance and Tuning, and/or statistical modelling. Essential Duties and Responsibilities: A successful candidate will possess a strong background or operational familiarity in statistics, mathematics, modeling (predictive, forecasting, optimization). The candidate should demonstrate a progressive maturation of prior predictive projects from ad-hoc requests to fully automated and parameterized solutions architected into broader IT systems. The candidate should also be capable of and willing to train and mentor colleagues on the proper training, development and deployment of predictive and forecasting models. This individual will be responsible for analytical support, data mining, scripting / programming, mentorship and stakeholder presentation within the framework of implementing, utilizing and expanding predictive capabilities within the broader Data Science team. Major responsibilities include: Apply several forms of statistical (hypothesis testing, sampling, modeling, probability, time-series) and machine learning (neural networks / deep networks, ensemble methods, natural language processing) methods to describe, predict and optimize desired analytical objectives from business stakeholders. Manipulates high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends. Evaluate the progress of the data science team and company at large on the acclimation of machine learning and statistical models for predictive and forecasting tasks. Recommend steps to improve or enforce utilization of these methods. Empower and enhance the capabilities of the broader data science team on the proper data formatting, model selection and training, and accuracy evalution of deployed models through training, mentoring and project assistance as needed. Collaborate with IT, Business and Analytics stakeholders to design and implement automated and/or parameterized predictive scripts into the wider company data architecture. Assist with research related to customer based analytical practice and develop communications for management and strategies for building institutional knowledge. Work with product and enterprise teams via both Agile And Waterfall Methodologies. Foster a ‘data-driven’ culture based on pragmatism and strategic decision through rigorous factual analysis at all levels. Should be willing to engage outside the immediate team to expand data science footprint throughout organization.

/ Miami, United States

Web Analyst

Performing regular reporting and ad-hoc analysis to gain insight into user behaviors. · Being able to monitor KPIs and create custom dashboards with the goal to tell stories and present results to upper management and other stakeholders within the organization. · Creating and executing content testing and user personalization plans. · Being able to optimize content at scale to continuously improve traffic acquisition, user experiences, and funnel conversions. · Proactively discover solutions and provide recommendations to improve the website’s content creation and distribution processes. Recommendations will include design and content enhancements, CTA optimization, and product placement for merchandising success. · Measurement, user behavior testing, and content optimization · Evaluating traffic acquisition, user experience, and site conversions to provide strategic and tactical recommendations to improve the website’s performance is the main objective. · Problem-solver, analytical, driven individual is going to do great in this position. · Assessing emerging tools and industry trends to build a competitive toolset with an early-adoption mindset. · 2+ years of experience in web analytics (Adobe Analytics/Omniture experience highly valued) · Excellent web analytics skills and the ability to analyze complex sets of data. · Microsoft Excel (including pivots, formulas, and macros) and PowerPoint efficiently to digest the data and correlate multiple data points. · Ability to manage multiple deadlines in parallel and expectations for workload as well as managing the workflow deliverables. · Ability to collect data from multiple sources including web, product, and customer databases to create combined views. · Excellent project management skills as well as outstanding communication skills and the ability to effectively summarize and present results.

Contract / Miami, United States

Sr Engineer - Python ML

Sr Engineer – Python ML Our client is embarking on an exciting digital transformation driven by an energetic team of high performers. This group is nimble and creative with the power to craft our Technology and Product roadmap. If you have the talent and dream to deliver creative products and services at a rapid pace, serving our customers seamlessly across the globe, join our team! We are seeking a Senior Engineer to support the Global Servicing Big Data technical organization responsible for the Big Data and Machine Learning technical solutions to meet the analytics and insights needs of our World Service organization. As a Senior Engineer, you will provide deep technical knowledge and architectural design mentorship at a platform and portfolio level. You will also function as a key contributing engineer and architect on large/complex projects with a variety of components on different tech stacks –proprietary Big Data ecosystem (Cornerstone), Redhat Openshift, Python. Principal Responsibilities: Hands-on technical projects; Apply analysis based on research and introspection to recommend solutions. Design and lead solutions that provide frameworks, interfaces, and services that can be extended and reused across the portfolio. Ensure architecture is consistent with enterprise architecture standards, guidelines and principles. Work with engineering teams to ensure that implementations are aligned with the Technical Platform’s Blueprint specifications. Designs, codes, tests, maintains, and documents applications Contribute to technology direction, develop architecture and influence implementation to gain measurable business improvements. Frequently collaborate with other functional teams' leadership and engineers to align and demonstrate solutions. Focused effort on delivering enterprise-grade APIs to expose Technical Platform capabilities. Apply specialized knowledge of industry standards or practices to assigned initiatives. Identify complex and or broad problems and issues and formulate recommendations. Interact with business partners to better understand their objectives and help them understand the technical landscape. Extend business product innovation through the introduction, adoption and implementation of technology. Qualifications 6+ years of active engineering and/or architecture experience in a complex environment and/or comparable experience. Successful design, creation and deployment of one or more enterprise-grade technology assets, including integration of cross-platform solutions in an Agile product environment. Bachelor’s Degree in computer science, computer science engineering, or related field required; advanced degree preferred. Expertise in objected oriented analysis and design across a variety of platforms. Expertise and proven hands on working experiencing in the Python scripting language, at least one popular Python framework (like Django, Flask or Pyramid) Solid knowledge with Python libraries such as Numpy, Pandas, Scipy, Matplotlib, NLTK. 2+ years’ experience with leading teams of Python engineers Ability to collaborate with designers to convert prototype into working applications that adhere to the design vision Deep understanding of XML, JSON, Web Service technologies, and data structure fundamentals. Experience in batch, streaming and real-time platforms. Experience with DevOps tools, automating engineering and operational tasks. Experience with a broad range of software languages, open source tools and products and financial business domain knowledge will be a plus. Shown experience in Big Data and Machine Learning technologies such as SQL, Hadoop, pySpark, Kafka, Hive, MapReduce as plus.

Contract / sunrise, United States

Data Engineer-Video Analytics

Data Engineer Java Microservices + Dependency Injection Framework Distributed systems experience Cassandra, Kafka Docker Bonus: Mesos / Kubernetes orchestration layer General Understanding of Data Science + ML Models Python ML frameworks (Tensorflow, Keras, PyTorch) Productionalizing and deploying ML models

/ Miami, United States

Data Scientist

SUMMARY The Data Scientist leads the team in developing sophisticated predictive models, mining large data sets for insights, building scalable data products, and growing the overall Data Science capabilities. This individual serves as the senior member on project teams, often creating solutions from scratch, or, applying known and proven techniques effectively. This role is well versed in multiple analytical techniques, and can seamlessly transition between projects, data types, and problems. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. Accesses data from a variety of sources, including RDMS, NoSQL, or API. Performs data aggregations, joins, manipulations, and cleaning to ensure data integrity throughout the entire analytical process. Applies supervised and unsupervised modeling techniques to data to generate predictions and uncover patterns. Develops hypothesis statements and applies statistical testing to determine causality and generalize observations. Solves problems by applying a variety of predictive modeling/machine learning/deep learning techniques. Maintains a comprehensive understanding of the current analytical landscape, including emergent technologies and methods. Works closely with the Data Engineering and Product teams to ensure the successful completion of projects. Decomposes problem statements into specific deliverables and requirements. Supports the Product Owners in developing sprint goals and roadmaps. Continuously scans the Data Science landscape for recent developments and opportunities to ingrate new methodologies into the existing project portfolio. Creates presentations and delivers results to colleagues, stakeholders and executive leadership. Leads peer review sessions and collaborative exercises to build the team's overall analytical capability. Thoroughly understands Foot Locker’s retail business model and can seamlessly connect data, context, and analytical solutions. Mentors junior team members and provides constructive critique on specific projects. QUALIFICATIONS The idea candidate possesses the following qualifications. Advanced SQL skills and is comfortable operating with relational data models and structure. Advanced skills with NoSQL databases and can interact with large amounts of data stored in a Hadoop environment. Is capable of accessing data via a variety of API/RESTful services. Advanced programming skills in either R, Python, or similar analytical language. Intermediate knowledge of Linux and Bash. Can interact with the OS at the command line and create shell scripts to automate workflows. Experience with state of the art techniques such as AI and Deep Learning. Advanced knowledge of Apache Spark. Intermediate knowledge of cloud environments such as AWS and Azure. Intermediate understanding of software development and collaboration, including experience with tools such as Git. Exceptional written and verbal communication skills, comfortable presenting in front of large audiences. A basic understanding of Agile methodologies and continuous delivery. Excellent data visualization skills, is able to determine the appropriate visualization for a variety of data types and create compelling stories with data. An advanced understanding of supervised and unsupervised learning techniques including; variable selection, feature engineering, model generation, model diagnostics, and deployment. Excellent statistical skills that are grounded in a thorough understanding of testing and frequentist/Bayesian methodologies. A proven track record of leading successful projects and driving measurable, viable results using Data Science techniques. EDUCATION and/or EXPERIENCE Bachelors Degree, Masters Degree or PhD. in a Data Science, Applied Mathematics, Computer Science or otherwise research-based field; 3-5 years of related experience and/or training; or equivalent combination of education and experience. COMMUNICATION SKILLS The candidate must be able to communicate with others in a simple, clear, and understandable manner. Must also have the ability to read and interpret all forms of communication. The ability to write reports for management and professional correspondence, as well as to speak effectively before peers, management, customers, and other associates of the organization is required.

Contract / Tampa, United States

Sr. Machine Learning Engineer

SUMMARY The Sr. Machine Learning Engineer collaborates with the team of Data Scientists and Data Analysts in creating scalable, data-driven, customer-centric solutions, capable of operating in a production environment. This role possesses an in-depth subject matter expertise of design, Machine Learning, AI/Deep Learning, software development, coding, testing and application programming and assists in aligning business and functional requirements with Data Science capabilities. They also demonstrate expertise in Machine Learning tools, Big Data technologies, and software build processes and guides the team towards rapid deployment and scaling up of our Machine Learning capabilities. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following: Provides the technical expertise and support to ensure that data products function effectively in a production environment. Design workflows that manage the development, support, and release of production level code. Works closely with Data Scientists and Data Engineers to develop predictive algorithms. Operationalizes applications into stable builds which can then be deployed to the cloud. Designs systems, alerts, and dashboards to monitor data products in production. Accesses data from a variety of sources, including RDMS, NoSQL, or API. Supports the Data Engineer and Architecture teams in defining the long-term technology roadmap for the team. Advocates a testing first strategy to integrate A/B testing into all levels of product development. Creates measurement systems to continuously evaluate the performance of data products. Decomposes highly complex problem statements into specific deliverables and requirements. Leads technology evaluations; creates prototypes for scalable Machine Learning Solutions using the latest methods and technologies. Leads program review sessions and collaborative exercises to build the team's overall analytical capability. Mentors junior team members and provides constructive critique on specific projects. SUPERVISORY RESPONSIBILITIES The Sr. Machine Learning Engineer does not have direct supervisory responsibilities but they are expected to demonstrate leadership and mentor other team members. QUALIFICATIONS The idea candidate possesses the following qualifications. 5+ years of hands-on experience developing and deploying enterprise scale Machine Learning solutions. Expertise working with large scale distributed systems (Hadoop, Spark). Advanced programming skills with Python, Scala, or R, Strong SQL skills and is comfortable operating with relational data models and structure. Advanced skills with NoSQL databases and can interact with large amounts of data stored in a Hadoop environment. Is capable of accessing data via a variety of API/RESTful services. Expertise with Continuous Integration/Continuous Delivery workflows and supporting applications. Expertise in cloud environments and architectures. The ability to work collaboratively with remote teams. Experience with containerization using tools such as Docker. Strong knowledge of Linux and Bash. Can interact with the OS at the command line and create shell scripts to automate workflows. Advanced understanding of software development and collaboration, including experience with tools such as Git. Excellent written and verbal communication skills, comfortable presenting in front of non-technical audiences. EDUCATION and/or EXPERIENCE Masters Degree or PhD. in a Data Science, Applied Mathematics, Computer Science, Operations Research or otherwise research-based field; 5-7 years of related experience and/or training; or equivalent combination of education and experience. COMMUNICATION SKILLS The candidate must be able to communicate with others in a simple, clear, and understandable manner. Must also have the ability to read and interpret all forms of communication. The ability to write reports for management and professional correspondence, as well as to speak effectively before peers, management, customers, and other associates of the organization is required.

Contract / Tampa, United States

Data Scientist- Augmentation

Data Scientist - Augumentation Position Summary: We are seeking a talented, experienced and inquisitive Data Scientist to design and implement cutting edge solutions across a breadth of domain areas. The ideal candidate is well grounded in a mathematical, statistical and probability background, with a broad knowledge of machine learning techniques and cognitive services. This Data Scientist will focus on augmenting analytic solutions with natural language techniques as part of a growing Data Science team This individual will work with a multidisciplinary team of driven people to deliver end to end solutions that improve guest experience and address pain points of the business across applications such as, Text Analytics, Social Media Monitoring, Sentiment Modeling, Language Response Generation, N-Gram Analyses, Topic Modeling, Semantic Clustering, and Named Entity Recognition Essential Duties and Responsibilities: A successful candidate will possess a strong background or operational familiarity in statistics, mathematics, modeling (predictive, forecasting, optimization). The candidate should demonstrate a progressive maturation of prior natural language projects from ad-hoc requests to fully automated and parameterized solutions architected into broader IT systems. The candidate should also be capable of and willing to train and mentor colleagues on the proper training, development and deployment of text mining and natural language techniques. This individual will be responsible for analytical support, data mining, scripting / programming, mentorship and stakeholder presentation within the framework of implementing, utilizing and expanding natural language processing capabilities within the broader Data Science team. Major responsibilities include: Apply several forms of statistical (hypothesis testing, sampling, modeling, probability, time-series) and machine learning (neural networks / deep networks, ensemble methods, natural language processing) methods to describe, predict and optimize desired analytical objectives from business stakeholders. Manipulates high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends. Evaluate the progress of the data science team and company at large on the acclimation of text analytics and natural language techniques for text and language intensive tasks. Recommend steps to improve or enforce utilization of these methods. Empower and enhance the capabilities of the broader data science team on the proper data formatting, model selection and training, and accuracy evalution of deployed models through training, mentoring and project assistance as needed. Collaborate with IT, Business and Analytics stakeholders to design and implement automated and/or parameterized text mining scripts into the wider company data architecture. Assist with research related to customer based analytical practice and develop communications for management and strategies for building institutional knowledge. Work with product and enterprise teams via both Agile And Waterfall Methodologies. Foster a ‘data-driven’ culture based on pragmatism and strategic decision through rigorous factual analysis at all levels. Should be willing to engage outside the immediate team to expand data science footprint throughout organization. Qualifications: Master’s degree in Statistics, Operations Research, Mathematics, Economics, Computer Science, Engineering, Physics, Chemical Engineering or field of comparable foundations in mathematical and statistical analysis through the use of models, algorithms or programmed solutions. 2+ years experience with any of the following programming languages: R, Python, Java, C++, C#, Scala, SAS or similar scripting languages. Similar experience and proficiency with SQL required. 2+ years experience with text mining and natural language processing techniques and tools including NoSQL / unstructured databases and queries (MongoDB, Cassandra), sentiment analysis (Lexicon based, Rule based, Document-level classification), Topic Modeling (latent dirichlet allocation), Term Frequency – Inverse Document Frequency (TF-IDF) and Named Entity Recognation / Event Extraction (conditional random fields) Experience with data mining processes (SEMMA, CRISP-DM), data preparation, consolidation, imputation, transformation, interaction, variable reduction, modeling, maintenance, and post-mortem analysis. Experience with statistical methods such t-test of means, Tukey-HSD tests of means on groups, ANOVA, Proportion tests, data normalization and scaling, univariate and multivariate outlier detection. Experience with modeling techniques such as linear models, decision trees, neural networks, k-nearest-neighbor, support vector machines, cluster analyses, and ensembling methods. Strong Oral and Written skills. Preferred Qualifcations in Addition to Basic Qualifcations: Experience with Agile Software Development, preferably Scrum / Sprint but will also consider Kanban Experience in a large corporation or consulting firm with focus in marketing strategies, modeling, CRM and management sciences/statistics highly desired Experience with Deep Learning tools and packages such as TensorFlow, Keras, H2O, and Theano Experience with frameworks and languages designed for big-data analysis, including Hadoop, Spark, Hive, and Pig Experience with cloud computing frameworks or API’s such as Microsoft Azure, Amazon Web Services and IBM / Watson. Additoinal experience connecting to social media APIs to mine information. Knowledge and Skills: Must have a strong background in one or more of the following: Mathematics, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence. Has expertise in modeling, customer segmentation, analytical reporting, survey analysis, key driver analysis and dashboards. Demonstrates a strong capacity for learning and assimilating new techniques, tools and methods. Comfortable with preparing or collaborating on presentation decks as well as delivering final stakeholder presentations as primary or supporting presenter. Has knowledge and can quickly ramp-up and leverage cloud-based cognitive service APIs such as Microsoft Azure, AWS and/or IBM Watson. Is passionate about your work, but willing to support several projects at one time and can accept reprioritization as necessary. Comfortable delivering within an agile program.

/ Miami, United States

Magento Developer/Architect

We are looking for 2 experienced Magento Developers and 1 Architect for a long-term contract. The duration is 6+ months with a strong chance of extension and is 100% remote. YOU MUST BE MAGENTO 2 (M2) CERTIFIED AND ABLE TO PROVIDE YOUR CERTIFICATION NUMBER BEFORE SUBMISSION. NO EXCEPTIONS. Technical Requirements: Magento 2 (M2) certification and experience with Magento 2.0 Experience with PHP, HTML, CSS, Javascript, MySQL required Experience interfacing with clients is a plus Strong problem solving and critical thinking skills and attention to detail Deep working knowledge of common Magento hosting options and requirements We are looking for 2 experienced Magento Developers and 1 Architect for a long-term contract. The duration is 6+ months with a strong chance of extension and is 100% remote. YOU MUST BE MAGENTO 2 (M2) CERTIFIED AND ABLE TO PROVIDE YOUR CERTIFICATION NUMBER BEFORE SUBMISSION. NO EXCEPTIONS. Technical Requirements: Magento 2 (M2) certification and experience with Magento 2.0 Experience with PHP, HTML, CSS, Javascript, MySQL required Experience interfacing with clients is a plus Strong problem solving and critical thinking skills and attention to detail Deep working knowledge of common Magento hosting options and requirements

Contract / Chicago, United States

Sr. AEM Developer

I’ve got a request for 1 AEM Sites Developers who can work from the customer’s offices in NJ between 50 and 75% The schedule would be onsite by mid-morning on Mondays through 3pm EST on Thursdays. Initially there are 300 hours but follow on work for another 6-9 months is already being discussed. Travel expenses are reimbursable, as always. “Looking for Sr. AEM developers with good hands-on experience and able to explain an AEM implementation very well. Must have confidence in the approach and themselves in order to lead and drive development. Since this project is “headless AEM” we rely more on back end (OSGI services implementation, JCR API’s, AEM queries, indexes, component development and so on)”

Contract / San Jose, United States

AEM Architect

AEM (Adobe Experience Manager) 6.x Migration Expert - Content migration - Convert Endeca templates to AEM templates - Endeca cartridge migration to AEM components - Content Personalization - adaptive design work - Located in Piscataway, NJ

Contract / Folsom, United States

Practice Leader-Microsoft BI and Analytics

Job Descriptiion • Build-Run-Sell Microsoft BI and Analytics Capability. • Working across a complex internal matrix organization, establish yourself as a business subject matter expert within our Insights & Data practice with an excellent understanding of relevant data, analytics, processes and technologies. • 10 years of experience in Microsoft Delivery Leadership role Managing delivery teams in Global Footprint • Hands on understanding of Strategy and schema associated with Microsoft BI/DW architecture including native cloud platforms (Azure), MSBI, Power BI, SSRS, SSIS, SSAS. • Work with other sector experts to generate demand across the industries. • Work with technology experts to develop and market industry related solutions. • Drive innovative solution development based on market trends. • Ability to work with Big Data / Data Quality / Data Engineering / Analytics teams will be key to success. • Ability to evaluate and work with partners that can enable our success at one or more clients making it a win-win situation for all parties. Project Managers take full responsibility for managing a project or program. They normally manage a number of related streams or activities to achieve a desired business result, planned profitability levels, quality standards and highest-level client satisfaction. Project Managers are responsible for the project plan, budget, structure, schedule and staffing requirements for the delivery organization. A Project Manager usually has technical expertise in one or more other domains (e.g. a Project Manager with testing skills could perform a test manager function). Required Skills and Experience: You operate at board level in multi-site engagements. You are fully responsible for providing deliverables or service to specification, within agreed cost and timescale, meeting the necessary quality standards and to customer satisfaction. You conduct client negotiations to agree terms for changes to the scope of the project or service, setting realistic expectations and ensuring commercial viability. You manage your project or service teams, plan activities and monitor progress. You ensure all project deliverables or services are provided using best practices and are of an appropriate quality. You provide factual analysis of the project or service portfolio and the team’s performance and compliance to standard tools and processes. Candidates should be flexible/willing to work across this delivery landscape which includes and not limited to Agile Applications Development, Support and Deployment.

/ New York, United States

Data Analytics Consultant

About the Opportunity Do you love turning data into decisions? Is your technical ability matched only by your business knowledge? We’re actively seeking multiple Data Analytics positions ranging from Intermediate Senior experience levels. If this sounds like you, we can’t wait to meet you. Duties and Responsibilities: As a Data Analytics Consultant, you’ll spearhead the design and development of BI and Data Analytics solutions for our clients. Your mission – to build enterprise data and analytics solutions while leading your talented team of Data Analytics specialists. Your strong business acumen will come in handy as you work with clients to determine business requirements for reporting and analysis. You’ll design data models, including Data Lakes and Data Warehouses, primarily utilizing the Microsoft BI and Azure Data Analytics suite of tools. You’ll develop streaming and\or ELT\ETL data integrations using combinations of Azure services, stored procedures, and/or SSIS Packages. You’ll create semantic models using Azure Analysis Services (AAS) or SSAS, and create reports using Power BI, Reporting Services (SSRS), Excel, or other reporting clients. Your eye for detail will be an asset when you create technical documentation, test solutions and work to resolve any issues along the way. Your advanced analytics skills will be helpful when working with clients to build predictive models, such as machine maintenance, risk assessment, customer segmentation, etc. This will require solid mathematics and/or statistics skills, as well as a programming background. Your successful implementation of predictive models will help customers achieve maximum ROI, beyond traditional BI implementations. Qualifications Required Skills/Certifications: BS in Informatics, Computer Science, Data Analytics, Data Science, Mathematics, Statistics, Information Systems or related field preferred Strong oral and written communication skills Excellent analytical and problem-solving skills Desired Skills/Certifications: Experience designing and developing Data Analytics solutions in a project-oriented environment Experience with Microsoft BI and Azure Data Analytics tools: SQL Server, SSIS, SSAS, SSRS, MDS, Power BI (Desktop and Service), Azure SQL DB, Azure SQL Data Warehouse, Azure Data Lake, Azure HDInsight, Azure Data Factory, Azure Machine Learning Experience with Advanced Analytics and Prediction, such as machine learning, cognitive services and model development with data science languages such as R or Python Experience with Big Data and related applications such as Hadoop, Spark, Hive, Sqoop Strong knowledge of data warehouse concepts including: data modeling, data quality, ELT\ETL, reporting, analytics, and visualization Experience with leading BI and Data Analytics tools such as Tableau, Qlik, Redshift, Snowflake, Informatica, Microstrategy, SAP BusinessObjects, SAP BW/4HANA, IBM Watson\Cognos Analytics, Oracle OBIEE, IBM Netezza\PureData, Teradata Knowledge of cloud solutions, Azure in particular, including IaaS, PaaS, and SaaS Proficiency in SQL including the use of SQL editors, stored procedures, and optimizing SQL statements. Experience designing and developing Data Visualizations Experience with Microsoft Excel and SharePoint Consulting experience Physical Requirement(s): No Physical requirement needed for this position. Location: Indianapolis, IN

Contract / Indianapolis, United States

Revenue Project Manager

POSITION SUMMARY: The Revenue Project Manager (RPM) will be responsible for the deployment of Revenue Management infrastructure projects end-to-end. These projects will involve the use of data science, analytics, artificial intelligence and automation. Responsibilities include ownership of project delivery, driving project schedules from design to release, and managing the production launch. You will coordinate design/implementation efforts between internal teams and outside merchants and vendors to develop optimal solutions. You will be making appropriate tradeoffs to optimize time-to-market, clearly communicate goals, roles, responsibilities, and desired outcomes to internal cross-functional and remote project teams. The right candidate will possess a strong project management background, will have demonstrated experience leading medium to large projects, and will have a well-rounded technical background in mainframe and web technologies. You must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means you are not only able to develop and drive high-level strategic initiatives, but can also roll up your sleeves, dig in and get the job done. As a RPM, you will anticipate bottlenecks, provide escalation management, anticipate and make tradeoffs, and balance the business needs versus technical constraints. An ability to take large, complex projects and break them down into manageable pieces, then deliver them in a timely manner. ESSENTIAL DUTIES AND RESPONSIBILITIES: 1. The RPM will manage the end-to-end deployment of infrastructure based projects for the Revenue Management Strategy team. 2. Interact with executive leadership, product management and multiple stakeholder teams to define and deliver complex projects 3. Anticipate bottlenecks, provide escalation management, anticipate and make trade-offs, and balance the business needs versus technical constraints 4. Identify, assess, track and mitigate issues and risks at multiple levels and maximize resources for the implementation of projects 5. Create, maintain and disseminate project information to stakeholders 6. Drive effective teamwork, communication, collaboration and commitment across multiple disparate groups with varied priorities 7. Manage the execution of product launch plans and measure and analyze product performance in the marketplace for opportunities to innovate, improve customer experience and increase adoption of deployed solutions 8. Proactively identify and resolve strategic issues that may impair the team’s ability to meet strategic, financial, and technical goals 9. Collaborate directly with teams/individuals across the company to facilitate the design, research, development, and delivery of data statistics, models and client deliverables. QUALIFICATIONS: Bachelor’s degree (BA) from four-year College or university required with focus in quantitative discipline preferred Masters of Business Administration (MBA) or Master’s degree (MA). Strongly preferred four to six years related experience in pricing / business analysis or related field. Requires familiarization with revenue management concepts and tools. Previous experience in implementing system enhancements and decision making tools preferred. Demonstrated experience in project management. Ability to communicate effectively with both technical and non-technical individuals. Excellent oral and written communication skills. Track record for being detail-oriented with a demonstrated ability to self-motivate and follow-through on projects.

/ Miami, United States

Data Scientist

Company Description Who we are: Our Company was founded on the idea that there are patterns in people’s behavior that, with the right logic, can be used to predict future outcomes. We are a small but rapidly growing organization that works in partnership with our customers to create solutions that are simply not found anywhere else. We work in groups rather than in structured corporate hierarchies; our culture is creative and entrepreneurial where everyone contributes to company goals in very real way. We are a hardworking group, but we have a lot of fun with what we do and are looking for new people with a similar mindset to join the organization. What we do: Our proprietary software-as-a-service helps sales teams better understand and predict exactly which customers are ready to buy, the reasons why, and the key offers and incentives most likely to close the sale. Its micro-marketing engine then delivers the right message at the right time to those customers, ensuring higher conversion rates and a stronger ROI. Job Description We are looking for talented individuals to join our team in building the core components of our software. You will work on challenging projects using cutting-edge technologies. You will work closely with the Solutions Architect on a wide range of problems. This position will bring analytical rigor and statistical methods to the challenges of measuring quality, improving consumer products, and understanding the behavior of end-users. You will be the subject matter expert and propose new ideas. Who you are: You have a strong ability to analyze complex technical issues. You communicate effectively both orally and in writing and can translate technical topics into a commonly understood vernacular. You are able to work independently but have great collaboration skills. You enjoy being part of a focused team that can get the job done on time. You are a motivated learner who is excited to share your knowledge with the team. You regularly assess your own performance and adapt your work to achieve better results. You believe in what you do and feel a vested interest the company’s success. Qualifications MS or PhD in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering) 4 years of relevant work experience (e.g., as a statistician / computational biologist / bioinformatician / data scientist), including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods. *Analytical engagements outside class work while at school can be included. Applied experience with machine learning on large datasets. Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations. Demonstrated skills in selecting the right statistical tools given a data analysis problem. Demonstrated effective written and verbal communication skills. Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques. Spark Physical Demands: Additional Information You are creative and have great problem-solving abilities. You are collaborative, performing well as part of a team, and have strong interpersonal skills. You work well under pressure and meet deadlines by strong prioritization. You communicate well both orally and in writing. You negotiate effectively, finding the win-win solution to problems. You proactively solicit feedback, ask clarifying questions and resolve issues in a non-confrontational way. You regularly assess your own performance and adapt your work to achieve better results. You believe in what you do and feel a vested interest the company’s success.

/ San Franciso , United States

AEM UI Developer

Required skills Experience with AEM 6.0/6.2/6.3 Web2.0, HTML5/CSS3/Advanced JS Libraries/Plug-ins/ExtJS/GraniteJS Interest in exploring latest front end framework and design patterns Able to understand other digital marketing product integration ( Adobe Target, Adobe analytics etc.) Good Communication Open to handle day to day support and UI update requests Knowledge of CSS preprocessing/dynamic style sheet languages like LESS or SASS Nice to have Node/Angular DTM/TMS Good understanding of Marketing Automation platform like Eloqua or Marketo PSD to HTML conversion

Contract / San Francisco, United States

Conversational UI Designer

Position Summary: We are seeking an energetic Conversational UI Designer to join a fast-paced Artificial Intelligence Product Team. You should be able to write great conversation copy for chatbots and build these into a Conversation AI Platform. You have confidence mapping empathy and reflecting the persona of our end users in a dialog flow. You have strong ability designing short, crisp and engaging conversations. Responsibilities: Design concise, engaging and innovative content and dialog flows for our chatbot products. Use various Conversational AI platforms to bring chatbot conversations to life. Prepare user personas and user stories and implement chatbot dialog flows and natural language processing elements. Participate in design and implementation stages of chatbot from market trials to production deployment. Work closely with content management teams to draft engaging conversational copy. Experiment with different design patterns and research conversational UI approaches. Review the conversation our AI’s have had with their users frequently to define and implement improvements. Track progress of customer specific product improvements and measure impact Quality assurance of conversations. Testing and debugging bot code Partner with Product Management teams to maintain and update the Product Backlog Execute the tasks as defined in the sprint plan in order to achieve the sprint goals Learning and becoming an expert in the chatbot development platforms Requirements Bachelor's degree in journalism or communication or the like 1-year experience designing and developing Conversational UI Products 1-year experience working with Bot Frameworks / NLU Platforms such as Amazon Lex, Microsoft LUIS, IBM Watson or the like Exceptionally well communication skills - verbal and written. You effectively synthesize, visualize, and communicate your ideas to others Experience in script writing, short story writing and in possession of impeccable spelling and grammar Experience leading design sessions Experience with Agile Software methodologies Experience working with an agile project management tool like Github or JIRA Experience creative writing / blogging Experience as a Product Analyst/Product Owner is a nice to have

/ Miami, United States

Analytical Business Consultant

Job Description: Responsible for developing and applying data analytics and analytical modeling to assist with decision making, policy formulation, process re-engineering, and other similar business managerial functions. Typical projects require analytical capabilities, advanced operation research and machine learning methodologies to make critical decisions. By applying professional methods of quantitative analysis, the Consultant helps provide recommendations to strategic questions; study and analyze existing processes and recommend step-function improvements to operational processes. Duties include collecting and analyzing data, developing decision support tools (applications, models, processes), and delivering recommendations. Requires: 1. MBA or equivalent degree 2. Technical undergraduate degree in Operations Research, Industrial Engineering, Management Science and Engineering, or related Two or more years experience in Management Consulting, internal consulting or similar with a focus on the intersection of business and analytics. 4. Education or experience background must include knowledge of operations research/management science methods, business processes, problem-solving through quantitative analysis and modeling; project management; programming (Excel/Visual Basic/R/Python); business strategy and finance 5. 5+ years of experience total

/ Holmdel, United States

Program Manager - Data Governance & Process Improvement

Job Description: Join the Business Intelligence and Analytics team to help lead our Data Governance and Process Improvement efforts to the next level. Report directly to the VP leading the team. Use DMAIC methodologies to make dramatic improvements in key business processes. Define the problems, measure the current process by collecting data, analyze the relevant data, optimize the process and control the process output. Help our team reduce defects and maximize data quality. Additionally, apply Lean Manufacturing principles to remove process steps that provide no value to the customer and reduce waste. Responsibilities Set the strategy for a Six Sigma project implementation. Work with executive leadership, to select and prioritize projects to ensure work aligns with strategic goals. Create project plans and guide team members, including others to complete projects in a timely manner. Trains other team members on how to use Six Sigma tools and techniques, such as control charts, histograms and a root cause analysis. Skills and Competencies Three to five years of experience leading Six Sigma projects. Demonstrated proficiency with statistical and process management software, such as Minitab/SPSS, and flow charting software or process mapping software, such as Igrafx. Information Technology, business analysis and process initiatives rely on the expertise of Black Belt certified project leaders to produce measurable productivity gains. Black Belt personnel typically demonstrate proven team leadership skills and the ability to influence others at all levels of an organization. In many cases, jobs require extensive travel. Required Experience and Education Successful candidates will have extensive experience in business environments. Bachelor’s degree in a technical field. Prefer a Master's degree and completed Black Belt training and certification to lead projects, train and coach other personnel and complete problem-solving projects. Strive to enable organizations to become more self-sufficient and self-sustaining in process improvement endeavors.

/ Holmdel, United States

Business Analyst

Job Description: Responsible for developing and applying data analytics and analytical modeling to assist with decision making, policy formulation, process re-engineering, and other similar business managerial functions. Typical projects require analytical capabilities, advanced operation research and machine learning methodologies to make critical decisions. By applying professional methods of quantitative analysis, the Consultant helps provide recommendations to strategic questions; study and analyze existing processes and recommend step-function improvements to operational processes. Duties include collecting and analyzing data, developing decision support tools (applications, models, processes), and delivering recommendations. Requires: 1. Technical undergraduate degree in Engineering, Science, Operations Research, Industrial Engineering, Management Science or similar 2. Masters in Business Administration 2. Two-five years’ experience. Education or experience background must include knowledge of business analytics, business process problem-solving; project management; programming (Excel/Visual Basic/R/Python); business strategy planning; business strategy and finance

/ Holmdel, United States

BI Architect

Job Description: The business intelligence (BI) Architect will focus on delivering the vision of the department through process, development and lifecycle. They will work directly with stakeholders and team members to define, design and deliver actionable insights while working with ETL developers and BI developers in an agile environment. Primary Job Duties: ∗ Formulates and recommends standards for achieving maximum performance and efficiency of the EDW ecosystem. * Lead the deployment of the new BI tools and processes. ∗ Participates in the planning for retirement of systems programs, and migration of systems infrastructure. ∗ Develop business cases and ROI for department to get buy-in from senior management. ∗ Interview stakeholders and develop BI roadmap for success given project prioritization and budget. ∗ Evangelize self-service BI and visual discovery while helping to change Excel based culture. ∗ Work closely with DW manager to ensure prioritization of corporate and departmental objectives and projects. * Work closely with the Business Analyst and User community to develop new dashboards and meeting service level and responsiveness goals. ∗ Champion data quality, integrity and reliability throughout the department by designing and promoting best practices. Required Skill Set: ∗ 5+ years of experience delivering business intelligence solutions ∗ 5+ years of experience with OLTP and OLAP database models ∗ Good analytical and problem solving skills ∗ Fluent in relational database concepts and flat file processing concepts ∗ Must be knowledgeable in software development lifecycles/methodologies i.e. agile ∗ Has strong presentation and collaboration skills and can communicate all aspects of the job requirements, including the creation of formal documentation ∗ Strong problem solving, time management and organizational skills ∗ Bachelor’s Degree in related field or equivalent experience Preferred Skill Set: • Database Technology: Snowflake, Redshift, SQL Server, • ETL Technology: Talend, CRON scripting, SSIS, • BI Technology: Tableau, SSRS, SSAS, MicroStrategy • Master’s Degree Computer Science or Statistics

/ Holmdel, United States

AWS Practice Leader Data and Analytics

Description and Expectations: You are responsible for managing and growing the AWS capabilities for the Insights and Data NA unit. You will be developing solutions and collateral to support Unified Go To Market to align with the NA Market Units. The NA Market Units include sectors like Manufacturing, Life Sciences, Consumer Products, Retail, Energy, Media, Hospitality and others. This role will be to align the Insights and Data current services and offerings and align them to the AWS platform and evolve these services for growth. Insights and Data is a growth engine for North America and your responsibilities would be to grow and position our services with AWS. •Solution Development with AWS •Developing marketing materials (internal and external) •Building the AWS Data and Analytics skills and organization •Leader for new areas within the market – AI, Automation, DevOps •Evangelizing these solutions and capabilities AWS BI and Analytics Capabilities Leader • Build-Run-Sell AWS Big Data Solutions • Working across a complex internal matrix organization, establish yourself as a subject matter expert within our Insights & Data practice with an excellent understanding of relevant data, analytics, processes and technologies with the AWS platform. • 10 years of experience with AWS Data platforms • Hands on understanding the AWS Big Data platforms including Redshift, Dynamo, S3, Kinesis, Athena, EMR, Lex, Rekognition. • Work with other sector experts to generate demand across the industries. • Work with technology experts to develop and market industry related solutions. • Drive innovative solution development based on market trends • Ability to work with Big Data / Data Quality / Data Engineering / Analytics teams will be key to success. • Ability to evaluate and work with partners that can enable our success at one or more clients making it a win-win situation for all parties Candidates should be flexible / willing to work across this delivery landscape which includes and not limited to Agile Applications Development, Support and Deployment.

/ New York, United States

Sr. Programmer/Developer - Oracle PL/SQL

Position Summary: The Sr. Programmer/Developer - Oracle PL/SQL independently creates and develops new business process improvement initiatives and leads teams to implement solutions to complex multi-department problems; formulating the analysis and metrics required to measure success. Working with management, develops strategies, reports, training and tools to align projects with overall department goals. Essential Duties and Responsibilities: • Develops and implements new solutions to business processes. This includes requirements gathering, analysis, development, implementation, and testing of advanced database procedures and online web tools to deliver an efficient product to the business. Also includes reviewing external tools and technologies to implement. • Communicates with Contact Center management on developing the tools, reports, and applications necessary to achieve tactical and strategic objectives • Drive efficiency improvements and technical improvements to our PL/SQL jobs and systems. • Design and implement complex Oracle PL/SQL procedures and packages against various production databases. Responsible for the maintenance and documentation of data structures. • Enhances existing tools, develops new tools, and pro-actively performs research to provide new applications for the business •Designs, develops, and implements software packages for web sites • Troubleshoots, debugs and implements software code •Attends meetings and interacts with business groups throughout the organization on a regular basis to provide recommendations to improve process flow and management • Development and monitoring of data migration/transfer processes utilizing SQL Server, flat file manipulation, FTP utilization, and UNIX servers • Think creatively and holistically to not only meet business objectives, but also to gain additional benefits in job and system enhancements. • Performs other duties as required. This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to perform any other job-related duties assigned by their supervisor or management Qualifications: • Master's degree in MIS, Industrial Engineering, or Statistics preferred. • Bachelor's degree from four-year college or university required (in MIS, Computer Science, Industrial Engineering or Statistics helpful). • 3+ years of work experience in related field preferred. •Equivalent combination of education and experience will be considered. • Ability to lead cross functional teams to achieve business objectives based on an understanding of user requirements, procedures, and problems relating to the processing or improvement of existing computer systems and information structures. • Able to independently formulate recommendations, action programming directives and balance a variety of tasks • Ability to effectively present information to executive management and public groups. • Must have knowledge of standard concepts, practices, and procedures in a variety of fields (i.e., SQL, HTML, CGI, PHP and JavaScript). • PL/SQL and Oracle database experience required. Experience in SAS, .NET and UNIX desired. • Strong business skills required. • Strong quantitative analysis skills and knowledge of applied statistics, optimization, and modeling - knowledge of SAS is a plus. • Demonstrated ability to develop and implement applications using a programming language, especially PL/SQL. • Demonstrated ownership of projects and work, tenacity in following through on details and exploring remaining implications • Must be able to manage time and projects efficiently and make important decisions autonomously • Ability to communicate clearly and effectively to business and technical audiences in both spoken and written formats is necessary

/ Miami, United States