ABOUT US
ABOUT US
Focus Global Talent Solutions is a specialty IT staffing firm with a focus on three core areas of technology. The sectors we focus on are Artificial Intelligence and Data Science, Digital Marketing Technology, Analytics and Business Intelligence. Founded by Dave Fox, who has been working in the IT staffing space since 2010, Focus GTS brings a creative and consultative approach to helping both our clients and candidates. We understand finding the right talent (especially in a niche area) can be extremely difficult and navigating the waters of finding a new job can be challenging. Our mission is to make recruitment as painless and efficient as possible. It's that attitude that will shine through in every interaction with a member of our team.
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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 StatesSr 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 StatesSr 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 StatesMagento 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 StatesSenior 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 StatesSr/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 StatesMagento/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 StatesSr. 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 StatesData 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 StatesWeb 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 StatesSr 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 StatesData 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 StatesData 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 StatesSr. 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 StatesData 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 StatesMagento 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 StatesSr. 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 StatesAEM 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 StatesPractice 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 StatesData 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 StatesRevenue 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 StatesData 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 StatesAEM 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 StatesConversational 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 StatesAnalytical 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 StatesProgram 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 StatesBusiness 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 StatesBI 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 StatesAWS 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 StatesSr. 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 StatesAEM 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
Contract / Chicago, United StatesSenior Data Science
Position Summary: The Senior Data Scientist, Revenue Management is responsible for the development for all decision support tools/models used by revenue management team and for executing them efficiently. In addition Manager is responsible for optimizing and enhancing the suite of revenue management tools used to maximize $4 billion in ticket revenue. 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: Develop and maintain demand forecasting model (time series, regression, segmentation models etc.) Implement non-linear regression models to develop price elasticity models Knowledge of linear and integer optimizations, and able to integrate demand forecasting and price elasticity to develop revenue optimization models Create and leverage algorithmic modeling for International ticket revenue optimization while working with the Revenue Product team to understand and quantify effects of pricing/policy changes. 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) Integrate with external data sources to discover interesting trends. Design rich data visualizations to communicate complex ideas to internal and external teams. Design and manage data QA and validation using automation and best practices. Collaborate directly with teams/individuals across the company to facilitate the design, research, development, and delivery of data statistics, models and client deliverables. Owns and manages of the various components of Data Science Life cycle: Data Wrangling, Feature Engineering, Data Visualization (discovery), Model Generation, Implementation and Maintenance. Manage the relationship with other analytical teams in the company and IT to design, and implement analytical projects Identify business needs, translate business needs into technical requirements, and implement analytical models to meet project deadlines. Continuously seek out opportunities to further develop our analytical, engineering, statistical, etc. toolkit & team Qualifications: Master’s degree in Operations Research, Industrial Engineering, Statistics or Management Science is preferred. Bachelor’s degree from four-year College or university required (in Operations Research, Industrial Engineering, Statistics, Management Science or related field). Post-grad experience as a Data Scientist, preferably 3- 5 years of experience, including experience designing statistical models. Equivalent combination of education and experience will be considered. Experience managing a team preferred. Strong leadership skills. Expertise in building and applying statistical/mathematical methods, machine learning/predictive modelling with real-world use cases and experience with tools such as R, SAS, SPSS. Proficient with SQL and knowledge of BI related principles such as ETL, data modeling, & data warehousing. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to both technical and non-technical audiences with a desire to work in a collaborative, intellectually curious environment with the ability to interact across various teams. Ability to manage multiple projects simultaneously with deadlines and manage changing priorities with minimal supervision and intervention.
/ Miami, United StatesAEM Content Specialist
Please send me your updated Resume. The AEM Content Specialist will be responsible for publishing and maintain content updates to various websites across the client's portfolio. This is a hands-on position that requires content and assets implementation using Adobe Experience Management (AEM) content management platform. DUTIES / RESPONSIBILITIES: · Daily content management for external websites · Working as a liaison between end users and developers on various projects · Training content owners in AEM for functionality · Creating training documentation · Work with the web team and the campaign managers and possibly the end users to create best in class User Experience · Assist development teams in preparing staging content for regulatory and production launches · Ensure content meets SEO standards · Maintain a consistent look and feel across all websites based on established guidelines · Act as a subject matter expert in the tools and processes required to manage site content · Identify site improvement opportunities and continuously validate user experience · Work with stakeholders on design considerations, advise on best practices for overall strategy and content plan · SKILLS / REQUIREMENTS: · 3-5 years experience in web content management is required · At least one year of Experience using Adobe Enterprise Manager (AEM) for authoring/updating content · Experience with HTML, CSS and JS · Experience working with end users and developers as a liaison · MS Office Suites background (Word, Excel, PowerPoint, etc.). · Project management, attention to detail, ability to work independently, and good communication skills are a must · Basic Adobe Photoshop skills such as image editing and optimization a plus
/ San Francisco, United StatesUsability Analyst
What You’ll Do: Work with Design, Engineering, Product, and Marketing to conduct research at multiple stages of the product development process Partner with product teams to identify where we should evaluate ideas, concepts, and existing experiences, and assist the team in making critical design decisions affecting the user experience Develop a research approach, schedule, and detailed plan for each project Plan, moderate and scribe one-on-one usability sessions to better understand customers motivations, behaviors and needs. Deliver timely and tangible findings and prioritized recommendations to partners Balance company goals with user needs Help product teams more deeply understand our users Skills: Requirements 2+ years experience conducting both remote and in-person moderated usability research Experience with variety of Usability research tools and methods (especially user-centered design processes), and involvement in running a variety of tests. Comfortable interviewing and observing people in a lab environment. Ability to produce deliverables that are well-written and contain helpful information, providing solid and actionable recommendations. Ability to synthesize lots of information and distill it into meaningful date. Creative thinker with strong people interaction and facilitation skills. Solid organization, project management and planning skills. Detail-oriented, with the ability to multitask. Excellent written and verbal communication skills. Should be self-directed with effective time management skills. Proven ability and desire to work effectively as a member of a team. Ability to quickly learn and adapt in a fast-paced, highly interactive environment Self-starter who is comfortable with minimal day-to-day guidance and independently managing deadlines. Exhibit strong problem solving, analytical, and critical thinking skills with the ability to make sound recommendations and decisions based on observed user behavior and prior experience. Experience working directly with Design, Engineering, Product, and Marketing teams What You’ll Do: Work with Design, Engineering, Product, and Marketing to conduct research at multiple stages of the product development process Partner with product teams to identify where we should evaluate ideas, concepts, and existing experiences, and assist the team in making critical design decisions affecting the user experience Develop a research approach, schedule, and detailed plan for each project Plan, moderate and scribe one-on-one usability sessions to better understand customers motivations, behaviors and needs. Deliver timely and tangible findings and prioritized recommendations to partners Balance company goals with user needs Help product teams more deeply understand our users Skills: Requirements 2+ years experience conducting both remote and in-person moderated usability research Experience with variety of Usability research tools and methods (especially user-centered design processes), and involvement in running a variety of tests. Comfortable interviewing and observing people in a lab environment. Ability to produce deliverables that are well-written and contain helpful information, providing solid and actionable recommendations. Ability to synthesize lots of information and distill it into meaningful date. Creative thinker with strong people interaction and facilitation skills. Solid organization, project management and planning skills. Detail-oriented, with the ability to multitask. Excellent written and verbal communication skills. Should be self-directed with effective time management skills. Proven ability and desire to work effectively as a member of a team. Ability to quickly learn and adapt in a fast-paced, highly interactive environment Self-starter who is comfortable with minimal day-to-day guidance and independently managing deadlines. Exhibit strong problem solving, analytical, and critical thinking skills with the ability to make sound recommendations and decisions based on observed user behavior and prior experience. Experience working directly with Design, Engineering, Product, and Marketing teams
Contract / San Francisco, United StatesManager of Data Governance
Manager of Data Governance, Data Lineage, and Data Quality Position Summary: The Manager of Data Governance, Data Lineage, and Data Quality will be responsible for supporting, architecting, and delivering on the following capabilities: Ensure the completeness, accuracy, and timeliness of Customer Data which is the primary source of information for all business operations and digital initiatives. This resource will work with each business (Website & Product Teams, Hotel Ops, Casino, Loyalty, Marketing, Finance, Revenue Management, Sales, and more) to ensure their data issues are addressed, and ensure they are following the governance practices and benchmarks we are putting in place. This resource and their team will monitor the data quality across each key source system and set data quality benchmarks. The team will also distribute monthly reports/dashboards to each business to illustrate whether or not we are meeting benchmarks and take action in the case we are not. This resource and their team will also be intimately involved with the match/merge rules and logic in each core system, integration and architecture across shipboard and shore side systems, and help the architecture and solutioning team with design of data flow. Essential Duties and Responsibilities: The focus of this technical leader will be to: Manage staff and provide thought leadership in the areas of Data Governance, Data Quality, Data Auditing, Data Lineage, and Data Profiling Create and implement privacy and data protection policies, procedures, and best practices for Figure Eights business operations, for both U.S. and E.U. regulations. Collaborates cross functionally in developing the strategy and direction in leading our data protection programs. Drives improvement and change through expertise and influence. Cultivates an environment where associates are educated on data privacy awareness and principles. Drives research of privacy and data protection laws, regulations, and related best practices. Leads data protection risk assessments and remediation efforts. Establish DQ KPIs and Benchmarks for the Customer Data domain and the entire RCCL organization Lead, design and execute on the future-state Data Governance program Identify Processes, Protocols, and Procedures to maintain data integrity Identify, design, and help maintain the Access Management program put in place that will monitor user level rights Perform sizing/estimates/staffing requirements Successful project and program management unifying agile, design thinking, and management concepts Interlocks across cross-functional teams including Product, Development and Support to ensure alignment on Data Integrity Facilitates workshops with vendors, business teams, and Excalibur teams to define use cases and gather requirements needed to establish the Governance Program Run data quality rules through our GlobalIDs application Financial Responsibilities: Budget accountability - minimal Qualifications: Basic Qualifications 6+ years of experience BS in Computer Science, Engineering, Math, Finance Preferred Qualifications: Exposure to corporate executive level data KPIs. Experience with Agile software development. Exposure and experience with GlobalIDs Excellent communication and Presentation skills Knowledge and Skills: Our ideal candidate: 7+ Expertise in conceptualizing, designing, and deploying Data Governance Programs Understand the full life cycle of SDLC from concept to maintenance and have a broad Information Management and Technology background Experience and expertise in Data Governance, Master Data Management, Data Integration, Data Warehousing, Data Architecture, Data Quality, Data Lineage Software, and Data Standards Ability to lead teams, and manage multi-faceted projects
/ Miami, United StatesETL Lead Developer
ETL Lead Developer Hands on development and collaborate with other developers Ability to lead/guide small team of developers Conduct talend code reviews and recommend/adhere best development practices Understand, implement, and enhance the technology framework Excellent communication with technical information Ensure development alignment with the technical vision and goals Develop technical procedures and documentation Identify/suggest opportunities for improvement with new trends in the software Assist/Mentor team with ETL framework Ability towards delivering Microsoft azure migrations using talend studio Able to learn new technologies Able to work collaboratively with QA team for QA strategy and plans Must Have: Bachelor’s degree in Information Technology or a related field from an accredited university 3-5 years of earlier traditional data warehouse experience with other ETL platforms will be considered Minimum four years of experience with lead, design, and develop Talend ETLs Minimum four years of expertise in Talend administration Console Understanding of Data Lake Store Hands on coding with Spark, shell script Big data integration experience Preferred: Knowledge and experience with other Azure cloud components such as Data Factory, Data catalog etc., Hands on with Python, APIs Experience with Microsoft azure or AWS
/ United StatesTechnical Architect
Data Architecture & Distributed Systems: Kafka, Zookeeper, Spark, Mesos Languages: Java, Scala, C# Databases: Cassandra, Couchbase, Neo4j Machine Learning: GPU hardware & virtualization knowledge Experience deploying machine learning models Other: Docker, Git (Python Plus) Cloud Azure/AWS
/ Miami, United StatesSr. Microsoft SQL DBA
Must have exp with SQL Server Must have 5 yr DBA exp
/ Omaha, United StatesLead Digital Analytics Specialist
* Strong technical background, not necessarily coding * Implementation experience * Experience translating biz reqs into tech reqs * Work on-site in Miami
Contract / Miami, United StatesConversational AI Developer
DESCRIPTION The Conversational AI Developer leads key ChatBot technical initiatives focusing on strategic business transformation programs using conversational AI/chatbot technology. Work assignments are broad and involve a wide variety of complex technical and business issues. Maintains state of the art knowledge of technical changes and products. Incumbent plans and carries out work independently and uses own initiative and judgment to handle non-routine matters and ambiguous issues. Demonstrates extensive knowledge in job-related functional area and of the business and industry or technology. KEY RESPONSIBILITIES Translate business requirements that may require research and analysis into technical specifications to build solutions that drive integration and innovation. Hand-on delivery in one or more chatbot platforms including (but not limited to): IBM Watson, Microsoft Azure/LUIS, Salesforce Einstein, Kore.ai. Provide technical leadership on a wide variety of solutions based on AI, Conversational Commerce, and ChatBots. Drive technical discussion and recommendations for chatbot development and deployment. Work independently and with supervisory review on moderate to highly complex programming tasks. Maintain high standards of software quality and delivery within the team by adhering to proven Agile practices. Be recognized as a subject matter expert on a variety of systems, aspects, or modules of a system. Provide Technical support for designs & implementation plans for ChatBots. Ability to manage one or more ChatBot Use Cases/projects simultaneously. Ability to work with various IT application teams and business user groups. REQUIRED SKILLS Bachelor's degree in Computer Science or related field 4 years’ hands-on experience with common software design patterns with an enterprise language like Java or Scala. 1-2 years’ hands-on experience with modern NLP and bot frameworks (Microsoft Bot Framework/LUIS, Watson Conversation/Amazon Lex) Experience building and consuming API’s - including RESTful web services Ability to storyboard a Chat Bot flow to communicate interaction and design ideas. Experience integrating chat bot solutions with external data sources. Experience integrating with hosted data sources including MS Azure or AWS. DESIRED SKILLS ( "nice to have ") Previous Travel and Leisure industry experience Experience using Jira / Confluence Some experience building solutions with current front-end technologies (CSS3, HTML5, modern JavaScript libraries)
/ Miami, United States