Senior Data Scientist

Overview

Headway’s mission is to build a new mental health care system everyone can access. We’ve created technology that helps people find great therapists with the first software‑enabled national network of providers accepting insurance. Headway was founded in 2019 and has grown into a diverse, national network of over 60,000 mental health care providers across all 50 states.

We’re a Series D company with over $325 million in funding from a16z, Accel, GV, Spark Capital, Thrive Capital, Forerunner Ventures and Health Care Service Corporation.

About The Role

Join us to build the decision engine for better mental health outcomes. As a Senior Data Scientist, you will sit in the heart of a cross‑functional product team and help turn messy, real‑world signals into clear decisions. You will make sure we are capturing the right data, designing experiments that tell us what is actually driving outcomes, and translating findings into recommendations that teams can act on quickly.

When the insight is stable and valuable, you will help operationalize it through predictive models that improve provider and patient experiences.

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.

What Will Make You Successful

• 6+ years using data to drive product or business decisions in product, growth, engineering, or operations environments.
• Strong SQL and strong proficiency in Python or R for analysis and modeling.
• Demonstrated depth in experimentation and causal inference under real‑world constraints. Bayesian experimentation experience strongly preferred.
• Practical modeling skill: feature engineering, model comparison, cross‑validation or backtesting, calibration, and post‑launch monitoring.
• Strong product sense and opinions, including a track record of connecting analytics recommendations to measurable outcomes.
• Clear communication: you can explain complex work to non‑technical audiences without losing the truth.
• A self‑starter mindset: you prioritize well, follow through, and do not need heavy oversight.
• Motivation for our mission: improving access and affordability in mental healthcare.

Compensation & Benefits

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.

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

Diversity & Inclusion

We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals.

As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview.

Headway participates in E‑Verify. To learn more, click here.