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Salary: USD 159,100 - 179,000 / annual
Spring Health is a global mental health company building an AI-native platform to eliminate barriers to mental health care. The platform delivers personalized support across self-guided tools, coaching, therapy, medication management, and specialty care, reaching over 170 million people worldwide through employers, health plans, and partners.
You will join the Advanced Analytics team embedded within the Care group as a Senior Data Scientist, reporting to the Manager, Data Science. This role leads technical innovation to drive engagement and adoption of Spring Practice, Spring Health's core care coordination and provider platform. You will leverage diverse and novel data sources in close partnership with product, design, and engineering teams.
Key responsibilities include:
- Lead analytical strategy for the Care group by owning end-to-end analytics to improve engagement and outcomes across Spring Practice. You will develop and apply advanced methods including AI, predictive modeling, classification, and clustering to identify opportunities for improving member scheduling, provider matching, and care coordination workflows. Your work directly influences product strategy, de-risks initiatives, and drives measurable business outcomes.
- Drive rapid experimentation and outreach by designing and executing an experimentation roadmap to test, validate, and scale improvements to member and provider workflows. You will consult on test design and analyze results to provide clear recommendations on which initiatives to pursue, including quasi-experimental approaches to measuring impact.
- Act as an embedded technical leader within the Care pod, partnering closely with product management and design to influence the team's roadmap, define success metrics, and ensure strategic decisions are grounded in rigorous analysis.
- Leverage diverse and complex data by working with large, multi-source datasets to perform feature engineering and uncover novel insights. You will coordinate closely with a partnered Analytic Engineer and Data Analyst embedded with Care.
Success is measured by incremental increases to Spring Practice engagement and utilization, improvements in member and provider workflow efficiency (e.g., scheduling, care coordination), and achieving quarterly experiment velocity goals.
This is a full-time, remote position. Occasional travel may be required for company or team events and meetings (at least 2 times per year for collaborative sessions and summits).
REQUIREMENTS:
- 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 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 priorities and dependencies in alignment with cross-functional dependencies and business impact in a fast-paced environment
- Proven success navigating ambiguous problem areas and learning new approaches
- Willingness to travel at least 2 times per year for collaborative sessions and summits
