Data Scientist

We're building a world of health around every individual , shaping a more connected, convenient and compassionate health experience.

As a Data Scientist on the Analytics & Behavior Change team, you'll build industry-leading analytics, data, and technology solutions that help reimagine healthcare.

Responsibilities:

• Lead and participate in the development, validation, and delivery of algorithms, statistical models, and reporting tools to solve complex analytical problems.
• Develop and apply algorithms and statistical predictive models to evaluate scenarios and potential future outcomes.
• Analyze structured and unstructured data using advanced statistical techniques and mathematical methods.
• Collaborate with business partners to understand problems and goals and develop predictive models, statistical analyses, data reports, and performance metrics.
• Develop and participate in presentations and consultations with internal and external stakeholders regarding analytics results and solutions.
• Apply strong knowledge of algorithms and predictive models to investigate problems, detect patterns, and recommend solutions.
• Use strong programming skills to explore, analyze, and interpret large volumes of data in various formats.

Requirements:

• 5+ years of progressively complex, related experience.
• 2+ years of experience designing, building, and fine-tuning LLM-based solutions, including RAG applications, enterprise search, conversational interfaces, and autonomous AI agents.
• 2+ years of experience with GCP and Vertex AI, or an equivalent cloud ML platform.
• 3+ years of strong Python experience for data analysis, modeling, and building LLM/AI pipelines, with libraries such as pandas, scikit-learn, and common LLM frameworks.
• 3+ years of advanced SQL experience for querying, transforming, and validating large datasets, including complex joins, window functions, and query optimization.
• 2+ years of experience in classical ML, including classification, anomaly detection, feature engineering, and model validation, with the ability to combine ML with LLM-based solutions.

Benefits:

• Medical, dental, and vision coverage
• Paid time off
• Retirement savings options
• Wellness programs

Pay Range: $111,240.00 - $222,480.00