
Senior Data Scientist, Speciality Care
Our mission: to eliminate every barrier to mental health.
At Spring Health, we’re on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it’s therapy, coaching, medication, or beyond—tailored to each individual’s needs.
We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we’ve been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers.
We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We’re just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere.
We’re hiring a Senior Data Scientist to join our high-performing Advanced Analytics team, embedded within the Specialty Care group. This role will lead technical innovation to drive targeted outreach and scale Specialty Care utilization, leveraging diverse and novel data sources in close partnership with product, design, and engineering. The ideal candidate will thrive in ambiguity, bring strong analytical expertise, and drive rapid experimentation to surface actionable strategies that improve Specialty Care member engagement and health outcomes. This is a full-time, remote-eligible position, reporting into the Associated Director of Data Science under the CFO.
What you’ll do:
- Lead Analytical Strategy for Specialty Care: Own the end-to-end analytical strategy to increase Specialty Care utilization. You will develop and apply advanced methods, including AI, predictive modeling, classification, and clustering, to identify and segment at-risk members for high-acuity conditions. Your work will directly influence product strategy, de-risk new initiatives, and drive measurable business outcomes.
- Drive Rapid Experimentation and Outreach: Design and execute a rapid experimentation roadmap to test, validate, and scale targeted member outreach strategies. Some projects will require quasi-experimental approaches to measuring impact. You will analyze results to provide clear recommendations on which initiatives to pursue, shaping the core of the pod’s data-driven approach.
- Act as an Embedded Technical Leader: Serve as the dedicated data science lead within the Specialty Care product 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: Work with large, multi-source datasets to perform feature engineering and uncover novel insights. This will involve both formal analysis and "scrappy" data sourcing to quickly answer critical business questions. You will coordinate closely with a partnered Analytic Engineer and Data Analyst embedded with Speciality Care.
What success looks like:
- Incremental increase to Speciality Care utilization
- Number of at-risk members identified
- Achieving quarterly experiment velocity goals
What you’ll bring:
- 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., Looker, Hex)
- Facility with a product development process in the context of a software product
- 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
The target base salary range for this position is $159,100 - $194,150, and is part of a competitive total rewards package including stock options and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.
Benefits provided by Spring Health:
Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.
- Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
- Employer sponsored 401(k) match of up to 2% for retirement planning
- A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
- We offer competitive paid time off policies including vacation, sick leave and company holidays.
- At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
- Access to Noom, a weight management program—based in psychology, that’s tailored to your unique needs and goals.
- Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
- Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
- Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
- Up to $1,000 Professional Development Reimbursement a year.
- $200 per year donation matching to support your favorite causes.
Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply.
Ready to do the most impactful work of your life? Learn more about our values, what it’s like to work here, and how hypergrowth meets impact at Spring Health: Our Values
Our privacy policy: https://springhealth.com/privacy-policy/
Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.
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