Spring Health is on a mission to eliminate every barrier to mental health by delivering the right care at the right time through its clinically validated technology. The company partners with over 450 companies globally to provide mental health services for 10 million people, aiming to improve access to mental healthcare through innovation and data-driven strategies.
Requirements
- You have substantial experience (typically 10+ years) working with data in analytics or data science roles, with a strong focus on product and/or growth for digital products.
- You have experience (typically 3+ years) experience managing and mentoring data scientists or product analysts, including responsibility for performance, career development, and hiring.
- You have deep experience using experimentation to drive growth: defining hypotheses and KPIs, designing and interpreting A/B tests and other experiments, and translating results into clear recommendations for product and business partners.
- You are comfortable owning and refining a metric tree / KPI hierarchy, and you can bring stakeholders together around shared definitions and measures of success.
- You are deeply fluent in growth thinking: you’re comfortable mapping acquisition and activation funnels, identifying friction points, and using tools like funnel analysis, cohort analysis, and growth loops to find and size opportunities.
- You have experience using modeling and causal inference (e.g., drivers analyses, uplift/propensity models) to identify what’s truly driving key metrics and where to focus experiments.
- You’re comfortable diving into SQL and Python code when needed to sanity-check data, review your team’s work, and give clear technical guidance.
Responsibilities
- Work with R&D leaders to set the vision for how product data science drives growth, especially in our acquisition and activation funnels. This includes how we use experimentation, causal inference, and behavioral analysis to identify and prioritize the most impactful opportunities.
- Partner with Product, Design, and other R&D teams to refine and align on our metric tree, ensuring we are focused on the right measures of success and can clearly see the impact of our work.
- Design and continuously refine how the product data science team operates within R&D: roles and responsibilities, collaboration models, team rituals, and how we partner with other data and R&D teams.
- Manage and develop a team of data scientists supporting multiple areas within R&D. This includes 1:1s, performance reviews, feedback, and clear growth paths that build both technical and product/strategy skills.
- Work with your team and cross-functional partners to design and maintain experimentation and measurement frameworks (e.g., clear hypotheses, guardrail metrics, success criteria) that can be reused across R&D and make it easier to run high-quality tests.
- Collaborate with Data Analytics and Analytics Engineering to ensure that our metric tree and core growth KPIs are implemented consistently in our data models, documented clearly, and easily accessible across the company.
Other
- You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you.
- You have strong user and stakeholder empathy: you can understand the challenges facing R&D teams and translate them into data science projects and experimentation roadmaps that meaningfully improve how we get members into care.
- You are humble, highly motivated, and thrive in fast-paced, ambiguous environments. You see process and structure as tools to enable impact, not ends in themselves.
