Staff Data Scientist – Individual Contributor, Data & Machine Learning

This is a fully remote position, open to applicants in Arizona, +22 more states.

📋 Description

• Take responsibility for the design, development, validation, and production processes of predictive and risk-adjustment models.

• Create models that support the outcomes benchmarking product.

• Establish methodological standards and document the rationale behind modeling decisions.

• Develop tested, versioned, reviewed, and reproducible production code.

• Collaborate with Data Engineering to deploy and monitor models within Snowflake.

• Assess the impact of products, programs, and content on patient outcomes using both experimental and observational methodologies.

• Define the instrumentation required for accurate impact estimates.

• Convert vague goals into clearly defined problems with viable options and trade-offs.

• Work alongside product, engineering, clinical, and customer-facing teams to incorporate models into products.

• Set up practices for evaluation, documentation, monitoring, and ethical healthcare data usage.

• Lead by influence as a senior individual contributor without direct management responsibilities.

• Report directly to the Head of Data & ML.

⛳️ Requirements

• Proven experience with models that have been deployed in production, including monitoring and retraining.

• Strong statistical background, including understanding data generation, model assumptions, uncertainty, and method selection.

• Proficient in Python and SQL.

• Solid software engineering practices, including testing, version control, code review, and reproducible pipelines.

• Experience with Snowflake is highly preferred.

• Familiarity with complex, real-world healthcare data.

• Understanding of causal inference and evaluation design.

• Experience transitioning a model from an open-ended business objective to a delivered product feature.

• Ability to make judgments under constraints and articulate trade-offs effectively.

• Strong communication skills with clinical, product, and leadership stakeholders.

• Dedication to the ethical and trustworthy use of healthcare data.

• Eagerness to explore new methodologies and tools.

• A degree in statistics, biostatistics, computer science, economics, or another quantitative field, or equivalent experience from another career path.

• Experience with patient-reported outcome measures, risk adjustment, or outcomes benchmarking is a notable advantage.

• Familiarity with EHR, EMR, or claims data is a notable advantage.

• Experience in building recommendation systems and assessing adoption and downstream impacts is a notable advantage.

• Experience evaluating generative AI applications in regulated environments is a notable advantage.

• Experience with model documentation and validation that has passed external review is a notable advantage.

• Being the first data science or ML hire is considered a notable advantage.

• Must reside in one of the following states: Arizona, Colorado, Florida, Georgia, Idaho, Illinois, Kansas, Massachusetts, Michigan, Minnesota, Missouri, New Hampshire, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, or Wisconsin.

🏝️ Benefits

• Remote-first work environment.

• Commitment to equal opportunity employment.

• Engaging mission-driven work aimed at enhancing healthcare outcomes.