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HeadwayHeadwayNew York, NY

Senior Data Scientist

Senior Data Scientist embedded in a product pod to design experiments, run causal analyses, and build predictive models that improve mental healthcare outcomes. Requires 6+ years driving product decisions with strong SQL/Python or R skills.

180k – 255k
Hybrid6+ YOEData Science

About the role

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.

Benefits

  • 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

Skills

SQLPythonRA/B TestingCausal InferenceBayesian ExperimentationFeature EngineeringModel ValidationCross-ValidationBacktesting

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