Staff Data Scientist - Product Analytics

What you will do

• Own a product measurement strategy. Define north star and input metrics for a major product area (or multiple surfaces), align stakeholders on definitions, and build conviction in what “good” looks like.
• Lead multi-team initiatives. Drive cross-functional work where the right answer is not obvious and the path is not linear, and ensure we land measurable outcomes.
• Set the experimentation standard. Establish frameworks for test design, guardrails, decision rules, and interpretation that improve both speed and rigor across teams.
• Develop evaluation systems for complex products. For areas like matching, ranking, or applied AI experiences, build measurement approaches that combine offline evaluation, online experiments, and human-quality signals when needed.
• Build scalable analytical assets. Invest in durable measurement systems: semantic definitions, self-serve dashboards, monitoring and alerts, and repeatable templates that reduce ad hoc work.
• Mentor and uplevel. Coach other data scientists and analytics partners, provide strong technical review, and model what great looks like.
• Be a thought leader. Proactively identify opportunities, shape roadmaps with an evidence-based POV, and create clarity where teams feel stuck.

What will make you successful

• 10+ years using data to drive product or business decisions in product, growth, engineering, or operations environments (or equivalent depth of experience and scope).
• Expert fluency in SQL and strong proficiency in Python or R, including building reliable, reusable analysis workflows.
• Deep expertise in Bayesian experimentation, causal inference, and measurement design, including common failure modes and how to prevent them.
• Strong applied modeling judgment: you know when a model is the right tool, and you can build, validate, and launch responsibly.
• A track record of leading ambiguous, cross-team work and delivering measurable outcomes (not just insights).
• Excellent executive communication and influence: you earn trust, align stakeholders, and move decisions forward.
• Strong product sense and an instinct for decision leverage: you focus on what changes outcomes, not what is merely interesting.
• Motivation for our mission: improving access and affordability in mental healthcare.

Compensation and Benefits

Expected base pay range: $212,000 - $265,000, based on qualifications, experience, and location. Eligible for equity grant.

Benefits include:

• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave
• Carrot Fertility reimbursement
• 13 paid holidays + Holiday Break
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development