Data Scientist, Medicare Analytics

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What We Need                                                  

As a core member of the Performance Measurement and Improvement team, the Data Scientist supports analytic activities associated with BCBSMA overall performance on Medicare Stars ratings, with specific focus on CAHPS patient experience component. The position will be responsible for providing analytic support to help identify the most efficient means through which Medicare Stars clinical quality and patient experience performances at BCBSMA can be maintained, and if and where possible improved across these complex global composite metrics.  This analytic support will aide in the design of targeted interventions for performance improvement and the periodic projections of the plan’s composite metric performance under a variety of future scenarios.  This analytic work will be leveraged across the organization to help guide the high-stakes quality and consumer experience improvement activities led by various teams.

Through continued drilldown analyses, monitoring of performance and maintenance of projection models, the Data Scientist will also have responsibilities to maintain, update, and refine our analytic approach as we evaluate the potential impacts key activities might have on the plans overall composite scores. 

The successful candidate will have an established track record and experience with using advanced analytic techniques to gain actionable information and insights, and with turning disparate data streams into a cohesive view.  Under direction of the Senior Director of Population Health Analytics, the Data Scientist will be able to work with performance measurement and analytics teams, consumer experience unit, marketing, health management, and member services to define business needs in improving consumer experience and care management.  She/he will be able to manage multiple tasks and projects simultaneously, establish priorities, and own deliverables end to end. In this role, she/he must be able to timely and clearly communicate issues, ideas and project status both verbally and in written form within and across business teams and key stakeholders. 

This role is available for our FLEX persona.

Day-to-Day

• Works as part of cross-functional teams (HMM, PMI, marketing, consumer services, and IT)  to quantify key consumer focused business issues and desired business outcomes
• Translates business questions into analytic hypotheses, data needs, and reporting requirements.
• Carries out advance analyses to develop analytic products that serve the business needs
• Develops targeted recommendations to inform effective member and provider outreach strategies to improve health care outcomes and consumer experience among Medicare population
• Generates and tests working hypotheses: aggregate and mine data, conduct analyses, and extract actionable results. 
• Develop analytic dashboard to track performance of access to care, clinical quality and consumer experience metrics and to predict the performance trending in Medicare population
• Partners with technical teams to design and improve Medicare data intake and storage infrastructure to enable efficient analytics
• Prepares and presents analysis results to internal decision-makers, often creating informative business metrics to influence decision makers

What We're Looking For

• A deep understanding of business operation, corporate mission, goals, and matrix organizational processes. Willing and able to learn from team members.
• Experience mapping business needs to analytics planning and technical requirements.
• Experience in working with large structured and unstructured data sets
• Demonstrable knowledge of, and practical experience in applying advanced analytics, and methodologies to support business decision making
• Ability to independently execute projects with multiple business stakeholders on firm deadlines
• Ability to identify opportunities to enhance productivity, increase efficiency, simplicity, and add measurable tangible and intangible values.
• Strong teamwork and ability to solve data and analytics problems through communication and collaboration.
• Data analytics experience a must; strong technical skills in programming with SAS, R, Python or other tools.
• Excellent written and verbal communication skills, with the ability to clearly and concisely present issues, analytical planning, and recommendations in verbal, written and presentation formats across all levels of the organization

What You Br