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Headway
Headway
501 – 1,000 Employees
HealthcareMarketplaceSaaS
Headway is a healthcare technology company operating an insurance-native marketplace for mental health care. Its platform connects people with licensed therapists and psychiatrists for in-person and online appointments, helping users find providers by specialty, location, and insurance coverage. Headway also manages insurance verification and billing, while giving providers tools such as a provider portal and insurance-native electronic health records system to reduce administrative work. The company partners with more than 100 insurance plans, supports care in multiple languages, and focuses on making in-network mental health services more accessible and affordable. Headway’s team works across healthcare, marketplace, and SaaS products, with hiring opportunities centered on technology and services that improve access to behavioral health care.
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Senior Data Scientist

Partner with product teams to turn healthcare data into experiments, causal insights, and predictive models. Help improve provider and patient experiences across Headway’s mental healthcare platform.

USUnited StatesCACaliforniaNYNew YorkWAWashington
$180,000 – $225,000 / year
HybridFull-timeSeniorEnglish RequiredData Scientist
PythonSQL

Description

  • Partner with a cross-functional product pod on analytics.
  • Work with Product, Engineering, Design, Operations, and Clinical teams to define questions, metrics, guardrails, and decision rules.
  • Design and analyze A/B tests and quasi-experiments, setting hypotheses, considering statistical power, and defining success criteria in advance.
  • Use funnel, cohort, segmentation, and lifecycle analyses to link user behavior with strategy.
  • Apply causal inference methods, including difference-in-differences, matching, and regression-based approaches.
  • Build predictive models, from feature development and validation through backtesting, calibration, launch criteria, and monitoring plans.
  • Present clear analyses and narratives that communicate uncertainty and support action.
  • Help establish shared standards for metrics, experimentation, and analytical quality.
  • Contribute data science work across the Patient, Payer & Outcomes, and Provider pillars, including ranking, matching, propensity, lifetime value, attribution, forecasting, churn, and incentive-response models.

Requirements

  • Bring at least 6 years of experience using data to guide product or business decisions in product, growth, healthcare, engineering, or operations settings.
  • Have strong SQL skills.
  • Use Python or R proficiently for analysis and modeling.
  • Bring deep experience with experimentation and causal inference in real-world settings.
  • Be fluent with AI tools, including large language models and coding assistants.
  • Have practical modeling experience spanning feature engineering, model comparison, cross-validation or backtesting, calibration, and post-launch monitoring.
  • Show strong product judgment and a record of linking analytics recommendations to measurable outcomes.
  • Explain complex work clearly to non-technical audiences.
  • Work independently, prioritize effectively, and follow through without extensive oversight.
  • Be motivated to improve access to and affordability of mental healthcare.
  • Be authorized to work in the United States for any employer.
  • Address visa sponsorship requirements associated with employment visa status.

Benefits

  • Equity compensation.
  • Medical, dental, and vision coverage.
  • Health Savings Account and Flexible Spending Account options.
  • 401(k) plan.
  • Work-from-home stipend.
  • Therapy reimbursement.
  • 16 weeks of parental leave for eligible employees.
  • Annual Carrot Fertility reimbursement and membership.
  • 13 paid holidays per year.
  • Holiday break during the week between December 25 and December 31.
  • Flexible paid time off.
  • Employee Assistance Program.
  • Training and professional development.
  • Health and wellness benefits.
  • Retirement savings plan.
  • Equity offering meaningful ownership opportunities.

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