Senior Data Scientist: AI-Driven Care Analytics (Remote)

Spring Health; United States; Remote; USD 159,000 - 179,000; Full time

Benefits offered by this job

Health benefits

401(k) match

Professional development reimbursement

Parental leave

Wellbeing programs

Job summary

Spring Health is seeking a Senior Data Scientist for its Advanced Analytics team within Care. You will own the end-to-end analytics strategy, apply AI and predictive modeling, and work with product and engineering to improve member scheduling, provider matching, and care coordination workflows.

You will drive rapid experimentation, help design test frameworks, and communicate clear data-driven recommendations.

Qualifications

• 5+ years of professional data science experience.
• Hands-on experience with experimentation, hypothesis testing, and quasi-experimental methods.
• Proficiency with SQL and Python.
• Experience with data modeling via dbt or similar tools.
• Experience working with data visualization and BI tools (e.g., Omni, Hex).
• Experience with product development and the software development lifecycle.
• Excellent verbal and written communication skills to guide and make recommendations to business partners.
• Proven ability to incorporate AI as a tool to solve complex business problems; including experience with prompt engineering for LLMs, using AI for code optimization and documentation, and establishing best practices for using these tools across teams.
• Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and business impact in a fast-paced environment.
• Proven success at navigating ambiguous problem areas and learning new approaches.
• Willingness to travel (at least 2 times per year) for collaborative sessions and summits with the team.

Responsibilities

• Lead analytical strategy for Care: Own the end-to-end analytical strategy to improve engagement and outcomes across Spring Practice.
• Design and execute a rapid experimentation roadmap to test, validate, and scale improvements to member and provider workflows.093 Some projects will require quasi-experimental approaches to measuring impact.
• Act as an embedded technical leader within the Care pod, partnering with product management and design to influence the roadmap and metrics.
• Leverage diverse data sources, perform feature engineering, and coordinate with analytic engineers and data analysts embedded with Care.

Skills

SQL

Python

Experimentation

AI/ML methods

Prompt engineering for LLMs

Data storytelling

Cross-functional collaboration

Travel willingness

Tools

dbt

Omni

Hex

Job description

Spring Health is seeking a Senior Data Scientist for its Advanced Analytics team within Care. You will own the end-to-end analytics strategy, apply AI and predictive modeling, and work with product and engineering to improve member scheduling, provider matching, and care coordination workflows.

You will drive rapid experimentation, help design test frameworks, and communicate clear data-driven recommendations.