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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Manager Data Science
Position Summary: This position is responsible for maximizing onboard revenue for the world's largest cruise brand Royal Caribbean International as well as improving guest satisfaction of more than 5 million guests. The role oversees pricing optimization, casino marketing campaigns, pre-cruise marketing and sales strategies of over $1B onboard revenue. This position also provides analytical support to identify opportunities, develop and implement strategies to improve guest satisfaction across the fleet. The other aspect of the job is to manage all shipboard systems, develop various databases, and create models and reports to support daily operations, reporting, and data-driven strategies. Essential Duties & Responsibilities: • Oversee all systems in hotel operations and all activities regarding data needed for reporting and analytics. • Develop business cases in support of these strategies that effectively communicate the value and business relevance to stakeholders. • Establish project plans that outline project milestones regarding data automation, forecasting, optimization, or benefits measurements projects. • Ensure that modeling and analytic work in support of other teams initiatives is completed per project plans and timelines. • Create and manage effective working relationships with IT, marketing team, finance team, and operations team to ensure the most relevant ideas and techniques are implemented. • Create benefits measurement algorithms to determine ROI for operational initiatives and shipboard promotion strategies. • Develop and maintain the analytical tools and reports to support shipboard team in their day to day operations with ad hoc questions/inquiries. • Conduct revenue analysis including volume/rate (yield) relationships. • Identify and quantify opportunities to improve KPIs through information gathering and analysis. • Prepare quantitative and qualitative business case, evaluating new products, services, or providers. • Assists in the development of annual business objectives for casino and internet including the data driven modeling to back up and support such objectives. • Develop pricing and promotion strategies for internet to maximize revenue growth in all markets. • Optimize tour pricing and marketing initiatives to increase penetration and maximize revenue. • Work with Casino, marketing and revenue management teams to grow • VIP business in all markets. • Work with international markets to increase pre-cruise penetration to drive onboard revenue. • Analyze guest ratings to understand different drivers in different segments, and design and implement strategies to improve guest satisfaction and reduce the number of detractors. • Analyze food cost investments and guest ratings to guide where to invest to maximize guest satisfaction improvement. • Aid in the development of the annual operating & strategic plan update for the Royal hotel group. Job Requirements Qualifications: • Master degree in Industrial Engineering, Statistics, Economics or other quantitative discipline, or similar combination of education and experience required. • Ph.D. in Industrial Engineering or Operations Research preferred. • 5 to 8 plus years of experience in Operations Research or statistically related field, integrating mathematical concepts with business principles. • Experience in travel industry systems is preferred. • Strong knowledge of revenue management and demand forecasting. • Strong Operations Research modeling skills (simulation, optimization and linear programming, etc.). • Statistical modeling skills (regression, time series, machine learning etc.) • Database and analytical programming skills (including SAS and SQL, etc.). • Ability to assimilate ideas/concepts into data driven models and strategies. • Project management experience in organizing, planning and executing large-scale projects from conception through implementation. • Effective verbal and written communication skills. • Understanding of the business in order to validate findings and conclusions and ensure data integrity and accuracy at all times. • Understanding of database design and information systems, structure, functions and processes, and experience with database tools
/ Miami, United StatesConsumer Data Scientist
The Consumer Data Science organization works closely with our cross-functional partners, and Twitter's leadership to understand user behavior, inform product decisions, safeguard the health and integrity of our services, and to influence company strategy. We are currently hiring for the following subteams on Consumer Data Science. These high-impact teams value creativity, critical thinking, and teamwork. What You'll Do: Support the entire product development lifecycle from product ideation to opportunity sizing to measurement design to experimentation and causal analysis to post-launch learning and iteration into the next development cycle. "Design and implement experiments or other econometric methods to understand how changes to the platform affect user behavior." Build novel metrics, identify the impact of product and policies, and study causal impact of our Product launches and Health initiatives. Work in tandem with team members, applying advanced statistical methods; writing complex data flows using multiple languages/frameworks such as SQL, Scala (Scalding, Spark), Python; and using data visualization tools. Communicate findings to executives and cross-functional stakeholders. Cultivate relationships within our teams and with our partners. Who You are: You are a self-starter who is capable of learning on the job, taking initiative, and thriving within a large team. You are excited to learn and apply new data analysis techniques and tools. You are passionate about insights, not just data and methods. You are a strategic thinker and are able to synthesize technical concepts into actionable recommendations for a diverse audience. You communicate your findings clearly and effectively to a wide audience of relevant partners and are capable of building meaningful presentations and analyses that tell a story. You are rigorous, care about data quality, and strive to understand surprising results and underlying mechanisms in your analyses. You combine business insight with detailed data knowledge and statistical expertise to ensure an accurate interpretation of results. You are a capable mentor. You enjoy knowledge sharing and working with junior teammates to uplevel their skills and take the time to learn from them. You value teamwork and teammates. You contribute positively and meaningfully to cultivate an inclusive team culture. You are personable, empathetic, and able to connect with each and every person on the team and throughout the company. Skills: Requirements: Experience working with and analyzing large datasets to understand behavior, solve problems, and answer business questions. Strong knowledge of statistics. Experience using SQL, R, or Python for analysis, modeling, and data visualization. Keywords: Education: Masters or Ph.D. involving quantitative data analysis or commensurate work experience.
Contract / San Francisco, United StatesBusiness Intelligence Analyst
Our bar is high, but so are the results we achieve. As a Senior Business Intelligent Analyst you will be working with the latest technologies. So strong experience and competencies with these technologies are required. You will get to: ? Receives report requests, evaluates requirements, and recommends existing or new solutions. ? Supports one or more business units in preparing weekly and monthly analysis and reporting to drive the business while ensuring accuracy and consistency. ? Creates reports and data products. ? Assists customers with information needs through understanding of data and metadata content. ? Identifies and assesses potential data sources. ? Elicits requirements using interviews, requirements meetings, surveys, document analysis, site visits, business process descriptions, use cases, scenarios, and workflow analysis. ? Assists with prototype creation, and coordinates prototype reviews. What we are looking for: ? Tableau (3+ yrs experience) ? Oracle ? DWH (Data warehousing concepts and experience) ? Datamarts ? Database schema design and modelling ? Feed ingestion ? Financial business knowledge: MIS, Revenue, Forecasting, MarketShare, Expense management, Project billing ? Ability to map domain specific data to business requirements in interactive reporting capabilities ? Looker (nice to have) ? Netezza (nice to have) What will ?help you succeed: ? Experience with Microstrategy ? Power BI ? Leadership skills ? Strong time management, organizational, and client facing skills. ? Be able to take a proactive approach and be able to learn as you go. ? Able to work well under pressure and meet deadlines.
/ Raleigh, United StatesBusiness Analyst
We support the network teams across the entire state for all providers (hospitals, physicians, ancillaries, etc.) and we’ve divided the state into 3 regions, north, southeast, and southwest. I am recruiting for someone to support the north region and here’s what that entails: 1. Supporting all requests from network staff a. Requests include pulling data for requests as easy as the number of trauma claims in Collin county to identifying ‘lookback’ claims where we need to tie the claim back to the original provider and determine outcomes, impacts, etc. b. Supporting negotiations with hospital providers thru development of our ‘negotiation package’ which is a 40 page document that includes everything you can imagine on utilization, cost, actuarial trends, etc. It’s a pretty in-depth component that is vital for our network teams to understand exactly what providers have provided in terms of services, market comparisons, etc. c. Creating and running queries off of our data warehouse (did I mention it’s the 4th largest dataset in the country? It is) which requires knowledge of SQL d. Identifying new report packages to be developed in Tableau 2. Subject matter expertise in your market a. This is a critical component and includes working with actuary to understand market trends which are driven by contractual increases, spend in certain acute and non-acute areas and other means of understanding what market forces are impacting results (freestanding emergency rooms are the latest health care evolution up here (north Texas) b. Presenting findings, either in person or via webex, on critical market issues c. Collaborating with others in network analytics (and other departments at BCBSTX) to further the ability to create new and improved analytic views d. Deep understanding and knowledge of critical providers in your market, in the north that would include Baylor, Christus, Cook Childrens and others. This knowledge includes understanding their stop loss provisions (if any) that exist in their agreement, contract terms (that may or may not be standard), and any other financial or clinical points that may or may not be responsible for driving their results..As for technical skills, a reasonable knowledge of SQL is necessary.
/ Plano, United StatesLead Data Scientist – R&D
Ph.D Research position
/ Miami, United StatesSenior Manager Advanced Analytics
The CA Scaled Analytics team is an organization that serves as a Center of Expertise across the CA organization. The Global Analytic Methodology Center (GAMC) team within Scaled Analytics provides global advanced analytics driven support for critical business decisions and is also responsible for framing long term analytic strategies that grow analytics impact. The team specializes in the areas of Resource Allocation, Marketing Mix optimization and patient data analytics and is more generally responsible for advanced analytics driven consulting to novel business problems. The Senior Manager, Advanced analytics is an advanced analytics generalist who leverages a broad suite of advanced analytics capabilities to solve established and novel business problems. ROLE RESPONSIBILITIES • Develop and evolve analytic offerings that enhance commercial decision making across key functional areas including marketing mix and resource optimization, field force design • Solve unstructured business problems by designing and executing customized, novel and high priority analytical projects utilizing advanced analytical techniques • Partner with other CA teams to govern execution of regular and standardized deliverables such as ROI and field force sizing analyses • Provide a holistic perspective that commercial and CA teams can use to guide business decisions by synthesizing analytics results and trends across brands, portfolios, business units, and markets • Build and operate assets that support analytics democratization Leadership • Lead matrixed project teams to execute analytical projects leveraging advanced analytics Performance Measures • Client and Partner Feedback • Demonstrable increase in analytics impact - measured by increase in capacity, response time and business value driven by analytics BASIC QUALIFICATIONS Education: • Degree in analytics related areas including management science, business decision analysis, statistics/data science, economics, finance etc Experience: • 5+ years of strong analytics experience, with a preference for experience in the pharmaceutical industry Technical skills and competencies: • Strong conceptual and analytical thinking combined with the ability to effectively understand analytics needs and build effective solutions. • Experience with the application of statistics and data science techniques such as machine learning to solve business problems • Expertise in conducting analysis in open source analytical programming languages R and/or Python and in data manipulation using SQL • Knowledge, insight and understanding of the pharma health care space (physician-level prescribing, institutional sales data, payer-prescriber-level data, formulary data, patient-level data, etc.) • Ability to solve unstructured business problems by designing and executing analytical projects • Good communicator: Can understand, translate and distill complex, technical concepts to a layperson • Highly collaborative: Works effectively with others on matrixed teams; comfortable working in global environment and across time zones • Project Management Skills: Able to effectively manage time and resources for self and a small matrixed team of peers NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS • Expected to participate in meetings in NY HQ and global time zones as necessary
/ New York, United StatesData Scientist
Position Summary: The Data Scientist, Revenue Management is responsible for support the development of all decision support tools/models used by revenue management team and for executing them efficiently. This employee will also perform regular statistical analysis and present results to senior leadership in a business format to assist in decision making and analysis. Essential Duties and Responsibilities: Design and develop models and algorithms that drive performance and provide insights, from prototyping to production deployment, across key areas of interest (e.g., APD optimization, Load Factor optimization, Cabin mix, channel mix) Design rich data visualizations to communicate complex ideas to internal and external teams. Execute various components of Data Science Life cycle: Data Wrangling, Feature Engineering, Data Visualization (discovery), Model Generation, Implementation and Maintenance. Collaborate with other analytical teams in the company and IT to design, and implement analytical projects Continuously seek out opportunities to further develop our analytical, engineering, statistical, etc. toolkit & team Qualifications: Bachelor’s degree from four-year College or university required (in Operations Research, Industrial Engineering, Statistics, Management Science or related field). Candidate shall have demonstrated 1 to 3 years of (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical analysis techniques typical to exploratory data analysis. Equivalent combination of education and experience will be considered. Strong problem solver and natural curiosity to learn Candidate shall possess the necessary skills to write scripts in R or Python to conduct exploratory and advanced statistical analyses Candidate shall possess the skills necessary to clean and wrangle data Candidates shall possess the skills necessary to extract data from data warehouses. Candidate shall possess excellent oral and written communication skills with emphasis on complex technical and statistical topics and effectively communicating details with all levels of management Ability to contribute in multiple projects simultaneously with deadlines and manage changing priorities with minimal supervision and intervention
/ Miami, United StatesSenior Manager, Scaled Analytics - Americas
ROLE RESPONSIBILITIES ? Develop and implement sound, objective secondary data analysis on marketing and field force promotional effort. ? Utilize consulting frameworks to structure and make recommendations on complex marketing and sales issues. ? Mine large pharmaceutical databases to identify opportunities, trend breaks or emerging issues. ? Provide expertise on utilizing secondary data (prescriber/institutional level, payer, longitudinal, specialty pharmacy, call activity, digital) for analysis and reporting. ? Determine key performance metrics and develop tracking reports on which to evaluate commercial initiatives. ? Partner with other Business Analytics colleagues to provide holistic insights based on available secondary and primary research. ? Proactively manage demand for Scaled Analytics services and ensure focus on high priority, high impact initiatives. BASIC QUALIFICATIONS ? Bachelor's degree required. ? 5-7 years as a sales/marketing quantitative analyst or in marketing/strategy consulting in the pharmaceutical industry. ? Significant hands-on experience analyzing large pharmaceutical secondary datasets (prescriber/institutional level, payer, patient / longitudinal, call activity) and developing analytical models. ? Experience in statistical modeling and analysis, machine learning and artificial intelligence. PREFERRED QUALIFICATIONS ? Advanced degree in quantitative field or quantitative MBA is preferred. ? Experience in one or more of the following areas preferred: field force sizing, targeting, promotion response.
/ New York City, United 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 States