Data Scientist

Grow Therapy•Seattle, WA

3h•Hybrid

About The Position

Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Following the mass increase in depression and anxiety, the need for accessibility is more important than ever. To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. We’ve raised more than $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others. About the Role We’re hiring experienced Data Scientists across multiple teams to help drive product innovation, growth, and strategic decision-making across the company. Our Data team works on high-impact problems spanning experimentation, user behavior analysis, growth optimization, marketplace dynamics, personalization, forecasting, and AI-powered systems. Depending on your strengths and interests, you may focus on product analytics, growth and attribution, recommendation systems, applied machine learning, or company-level metrics and strategy. This is a highly cross-functional role where your work will directly influence roadmap decisions, resource allocation, and long-term company investments.

Requirements

5+ years of experience in a quantitative role within a product-focused environment
Strong fluency in SQL and Python
Deep experience with experimentation design, statistical analysis, and causal inference
Track record of influencing product or growth strategy through data-driven insights
Strong communication skills and ability to simplify complex findings
Comfort navigating ambiguity in fast-moving, cross-functional environments
Ownership mindset with a focus on measurable impact

Nice To Haves

Experience building predictive or machine learning models (bonus for production experience)

Responsibilities

Lead experimentation strategy and metric development to improve product performance and user outcomes
Design and analyze A/B tests to guide product, growth, and operational decisions
Build predictive, behavioral, and attribution models that inform personalization, marketing, and platform optimization
Partner closely with Product, Engineering, Design, Marketing, and Operations to identify opportunities and quantify impact
Develop dashboards, analytical frameworks, and scalable data tools that empower teams with self-serve insights
Shape how intelligent and AI-powered systems are evaluated, measured, and improved
Translate complex analyses into clear, actionable recommendations for technical and non-technical stakeholders
Help establish data best practices, governance standards, and experimentation culture across the organization

Benefits

Comprehensive Health Coverage: Medical, dental, and vision insurance, plus life and disability coverage.
Parental Leave & Family Support: Up to 18 weeks paid leave and a new child stipend.
Financial Wellness: 401(k) program and equity opportunities.
Meals & Home Office Support: Stipends for home office setup and ongoing funds for meals, with tailored perks for both remote and in-office employees.
Time Off to Recharge: Flexible PTO, 12 paid holidays, and a full winter break week.
Wellness & Development: Annual stipends to put towards personal & professional growth.
Mental & Physical Health Support: No-cost access to therapy through the Grow platform, weekly flexible hours for self-care (“Mental Health Mornings/Afternoons”) and memberships to leading wellness apps (such as One Medical, Headspace, and Talkspace).
Extra Perks: Pet insurance discounts, commuter benefits, and global travel assistance.

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