Apply on Employer Site

CareFirst BlueCross BlueShield · 10 hours ago

Data Scientist - ID/STRAT and Program Evaluation (Hybrid)

Baltimore, MD

Full-time

Hybrid

Mid Level

$86K/yr - $172K/yr

3+ years exp

CareFirst BlueCross BlueShield is seeking a Data Scientist for their Health Economics and Reporting team. The role involves identifying and solving business problems through advanced analytical techniques, supporting data science initiatives, and acting as a liaison between analytics and business units.

Health CareNon ProfitService Industry

No H1B

Responsibilities

Mines and extracts data and applies algorithms to derive insights

Contribute to the analytics, reporting and data governance activity related to Member Identification/Stratification (ID/STRAT), Attribution/Program Assignment, Data Extracts/Sharing, Population Health Management, Predictive Modeling and Program Evaluation

Support items like AI implementations, partnerships with our IT/Data Management teams, vendor support (ex: Milliman MedInsights) and other related functions

Explores data to understand the data profile and its limitations

Assists business units in the innovation of organizational performance

Explores data patterns using existing data science tools

Translates business priorities to data science deliverables

Reviews trends in the ML/AI/DS space and assists with integrating new ML/AI designs into solutions and products

Qualification

Statistical modelingMachine learningData miningHealthcare analyticsData science toolsCustomer serviceCommunication skillsIndependent work

Required

Bachelor's Degree in Statistics, Mathematics, Computer Science or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience

3 years of relevant work experience

Ability to work independently without detailed guidance

Ability to communicate effectively and document objectives and procedures

Ability to leverage a variety of data science tools and frameworks

Knowledge in model evaluation, tuning and performance, operationalization, and scalability of scientific techniques

Knowledge of software engineering principles and practices

Proficiency in statistical modeling applications

Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence

Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging