Lead Data Scientist (Hybrid)

About the role

Leads proliferation of machine learning and artificial intelligence throughout the enterprise. Identifies and solves business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining. Uses advanced analytical capabilities to support data science initiatives. Communicates across product teams and with customers and educates on artificial intelligence, machine learning, and statistical models. Leads interactions between analytics, business units and other departments.

This role is based in the greater Baltimore/Washington metropolitan area and follows a hybrid work model, requiring on-site presence at a CareFirst location as needed based on business requirements and deliverables.

Responsibilities

• Leads all data mining and extraction activities and applies algorithms to derive insights.
• Contributes to analytics, reporting, and data governance related to Member Identification/Stratification (ID/STRAT), Attribution/Program Assignment, Data Extracts/Sharing, Population Health Management, Predictive Modeling, and Program Evaluation.
• Supports AI implementations, partnerships with IT/Data Management teams, vendor support (e.g., Milliman MedInsights), and related functions.
• Synthesizes analytical findings for consumption by teams and senior executives.
• Leads proliferation of machine learning and artificial intelligence solutions.
• Applies artificial intelligence techniques to achieve concrete business goals while managing limited resources and data constraints.
• Mentors and develops junior data scientists for advanced data analysis.
• Translates business priorities into data science deliverables.
• Leads implementation of ML/AI/data science best practices for new data products and builds robust, scalable software.
• Assists in guiding and mentoring less experienced staff; may lead a team of matrixed resources.

Requirements

Education: Bachelor's Degree in Statistics, Mathematics, Computer Science, or related field. In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required.

Experience: 8 years of relevant work experience.

• Prior healthcare analytics experience is required.
• Experience delivering work consistently and transparently to internal and external business partners.

Skills

• Ability to communicate effectively and document objectives and procedures.
• Proficiency in leveraging a wide variety of data science tools and frameworks.
• Ability to support data exploration and analysis tasks in alignment with analytics objectives.
• Knowledge of model evaluation, tuning, performance, operationalization, and scalability of scientific techniques.
• Proficiency in statistical modeling applications.
• Proficiency in advanced SQL across multiple syntaxes.
• Ability to meet established deadlines and handle multiple customer service demands from internal and external customers.
• Strong customer service and communication skills, including handling demanding or challenging customers.

Pay

Salary Range: $119,016 – $236,379. The range considers factors such as scope, responsibilities, candidate experience, education/training, internal peer equity, and market conditions. Compensation decisions depend on individual case facts, including experience, internal equity, and location.

Benefits

CareFirst offers a comprehensive benefits package, various incentive programs/plans, and 401k contribution programs/plans (all benefits/incentives are subject to eligibility requirements).