Senior Data Scientist
Headway
Summary
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.
Job description
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.
- 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.
- Develop predictive models that operationalize vetted insights (feature development, validation, backtesting, calibration), with clear launch criteria and monitoring plans.
- Produce analysis and narratives that are crisp, honest about uncertainty, and drive action.
- Help raise the bar by contributing 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, health, engineering, or operations environments.
- Strong SQL and strong proficiency in Python or R for analysis and modeling.
- Depth in experimentation and causal inference under real-world constraints.
- Fluency with AI tools as part of your workflow: using LLMs and coding assistants to accelerate analysis, prototyping, and documentation, while still owning the judgment and rigor behind the output.
- 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.
Requirements
- 6+ years using data to drive product or business decisions in product, growth, health, engineering, or operations environments.
- Strong SQL and strong proficiency in Python or R for analysis and modeling.
- Depth in experimentation and causal inference under real-world constraints.
- Fluency with AI tools as part of your workflow: using LLMs and coding assistants to accelerate analysis, prototyping, and documentation, while still owning the judgment and rigor behind the output.
- 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.
Benefits
- Equity Compensation
- Medical, Dental & Vision
- HSA / FSA
- 401(k)
- Work-from-Home Stipend
- Therapy Reimbursement
- 16-week Parental Leave
- Carrot Fertility Reimbursement
- 13 Paid Holidays
- Holiday Break
- Flexible PTO
- Employee Assistance Program
- Training & Professional Development
Company overview
Headway is a technology-driven mental health care platform that connects patients with therapists and mental health professionals. The company operates as a digital healthcare provider, focusing on making mental health services more accessible and affordable. Headway's platform streamlines the process of finding in-network therapists, handling insurance verification, and managing appointments, thereby reducing barriers to mental health care. The company works with a network of licensed therapists and counselors across various specialties, offering services for individuals, couples, and families. By leveraging technology to simplify administrative processes, Headway enables mental health professionals to focus more on patient care while expanding access to services for those seeking treatment. The platform addresses critical challenges in mental health care delivery, including insurance complexity, provider availability, and appointment scheduling efficiency. Headway represents the growing trend of digital health solutions that combine healthcare delivery with technology infrastructure to improve patient outcomes and provider experiences in the mental health sector.