About the role

Join us to build the decision engine for better mental health outcomes.

As a Staff Data Scientist, you will be a senior technical and strategic leader for how Headway measures, learns, and improves. You will own the hardest and most ambiguous product questions, shape how we define success, and drive decisions that cut across multiple teams and product surfaces. You will not only run the analyses, you will influence what we build, how we evaluate it, and how we scale what works.

This role is for someone who can zoom in to debug a metric definition and zoom out to design a measurement strategy for a major product area, then bring the organization along with them.

What you will do

• Be the analytics partner inside the pod. Work closely with Product, Engineering, Design, Ops, and Clinical stakeholders to define the questions, the metrics, the guardrails, and the decision rules.
• Run rigorous experiments. Design and analyze A/B tests and quasi-experiments with clear hypotheses, power considerations, and pre-defined success criteria.
• Connect behavior to strategy. Use funnel, cohort, segmentation, and lifecycle analysis to understand how people and providers experience Headway, and where product changes will have the biggest impact.
• Use causal inference when experiments are not possible. Apply approaches like diff-in-diff, matching, and regression-based designs with principled uncertainty quantification.
• Build models when they should exist. Develop predictive models that operationalize vetted insights (feature development, validation, backtesting, calibration), with clear launch criteria and monitoring plans.
• Create decision-ready work. Produce analysis and narratives that are crisp, honest about uncertainty, and drive action.
• Help raise the bar. Contribute to shared standards for metrics, experimentation, and analytical quality, so teams can move faster with confidence.
• 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.

The expected base pay range for this position is $215,900 - $254,000, 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

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