Senior Data Scientist

Join us to build the decision engine for better mental health outcomes. As a Senior Data Scientist, you will partner with product teams to capture the right data, design and analyze experiments that reveal why outcomes move and what will happen if we do X, and turn those insights into predictive models that improve provider and patient outcomes. You will earn trust across teams and deliver clear, actionable findings that speed decisions. If you thrive in ambiguity, love hard problems, and want to shape a data-driven culture, this is your next move.

• Become a trusted strategic partner to our cross-functional product teams, and work within them to define analytics requirements, identify important questions, design and implement experiments or causal analyses, and help answer critical questions to drive strategy with data.
• Design, run, and analyze A/B tests and quasi-experiments with clear hypotheses, power, guardrails, and pre-defined decision rules.
• Use data to understand trends in user behavior and product usage to influence strategy, product ideation, and drive experimentation.
• Build and validate predictive models when appropriate to operationalize vetted insights, including feature development, backtesting, and clear success criteria for launch.
• Collaborate with data team members and stakeholders across the company to shape minimal, decision-critical data requirements and present work in an impactful and digestible way that leads to better business decisions.
• Tell compelling stories through data, articulating technical information to a non-technical audience.

• 6+ years of experience using data to solve real-world problems and drive decision-making within engineering, ops, product or growth teams.
• Opinions about product analytics, a track record of building or driving product analytics rigor, and an understanding how your product recommendations drive business outcomes.
• High proficiency with SQL, and tools for data analysis like Python or R.
• Depth in experimentation and causal inference under real-world constraints, including test design, diff-in-diff or matching when randomized tests are not feasible, and principled uncertainty quantification.
• Practical modeling skill across feature engineering, model comparison, cross-validation or backtesting, and calibration that generalizes beyond the training period.
• Experience developing tests and predictive analytics, synthesizing results, and building frameworks and data models to make data-informed launch decisions.
• Inherent curiosity and analytical follow-through. You can’t help but ask why and love using data and logic to explore potential solutions.
• A self-starter mentality with the ability to prioritize, meet deadlines, and identify opportunities with limited oversight.
• Exceptional data storytelling abilities, as well as the ability to articulate technical information to a non-technical audience.
• Operating in a team-first environment with excellent collaboration and communication skills.
• You are motivated by our mission. We are working to solve the biggest problems in mental health care today (access and affordability).

The expected base pay range for this position is $183,600 - $216,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for performance-based variable compensation and an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development