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Director of Data Science - Patient

Leads data science team focused on patient acquisition, growth, marketing analytics, and product experimentation to drive consumer brand success and measurable patient impact. Requires 10+ years experience including team leadership and expertise in causal methods.

250k – 312kNew York, NYSan Francisco, CASeattle, WAData AnalyticsRemote10+ YOE

About the role

Responsibilities

Shape a world-class patient product experience

  • Partner with product, engineering, and operations to deeply understand the patient journey and identify the highest-leverage opportunities to improve discovery, conversion, and cures.
  • Lead the analytics approach for product changes: clarify goals, define success metrics and guardrails, diagnose trade-offs, and ensure learnings drive roadmap decisions.
  • Build strong segmentation and cohort understanding to explain who we serve best, where drop-offs happen, and what experiences drive long-term value.

Build the patient growth and marketing analytics engine

  • Own the analytics strategy for consumer acquisition and performance marketing, ensuring we can evaluate channel effectiveness, creative performance, conversion quality, CAC efficiency, and incrementality.
  • Partner with Growth Marketing and Finance to improve budget allocation decisions through clear measurement, forecasting inputs, and crisp performance narratives.
  • Establish an operating cadence that makes marketing performance, funnel health, and unit economics legible to leaders, and turns weekly learning into action.

Run a high-velocity learning system

  • Establish a rigorous experimentation culture across marketing and product, including clear hypotheses, fast iteration loops, strong guardrails, and decision-oriented readouts.
  • Create repeatable “insight to action” mechanisms: standardized deep dives, performance narratives, and decision memos that accelerate leadership alignment.

Scale an elite team

  • Lead, coach, and develop a team of data scientists and data science managers; set clear expectations for ownership, communication, and impact.
  • Recruit and retain world-class talent and build an org structure that scales from 6 - 8 people to roughly double that size through 2026.
  • Build strong managers and tech leads, and create a culture that is rigorous, curious, and relentlessly focused on business outcomes.

Own standards for truth and clarity

  • Define and enforce metric standards across the patient funnel so teams align on what matters and can confidently compare performance over time.
  • Ensure stakeholders have trustworthy self-serve reporting and clear definitions, minimizing time spent debating numbers.

Marketing analytics priorities (core to the role)

  • Performance marketing measurement: channel performance, creative learning, funnel conversion, landing experiences, and attribution.
  • Incrementally and causal measurement: designing tests and analyses that distinguish correlation from true impact.
  • Budget and efficiency narratives: CAC, payback, cohort quality, saturation effects, and marginal ROI.
  • Growth diagnostics: identifying why performance changed, what levers matter, and what actions will improve results.

Requirements

  • 10+ years of experience in data science/analytics, growth analytics, marketing analytics, product analytics, or data-driven strategy, including 6+ years leading and scaling teams.
  • Built analytics that materially improved consumer growth outcomes: acquisition efficiency, conversion, retention, and product-led expansion.
  • Strong marketing analytics instincts and can partner credibly with Growth leaders on channels, creative, attribution, and incrementality.
  • Translate messy consumer journeys into clear metrics, crisp narratives, and high-quality decisions, without slowing teams down.
  • Exceptional leader and coach with a track record of hiring world-class talent and building high-performance teams.
  • Intellectual honesty and strong judgment, and can push back when measurement is weak or narratives are wrong.
  • Deep expertise in experimentation design, statistical inference, and causal methods such as CUPED, diff-in-diff, synthetic controls, or propensity modeling.
  • Experience partnering cross functionally to drive measurable improvements in user experience or product performance.
  • Comfort with ambiguity and a bias toward action, clarity, and iteration.

Compensation & Benefits

Expected base pay range: $249,600 - $312,000, based on qualifications, experience, and location. Eligible for equity grant.

Benefits:

  • Equity compensation
  • Medical, Dental, and Vision coverage
  • HSA / FSA
  • 401K
  • Work-from-Home Stipend
  • Therapy Reimbursement
  • 16-week parental leave
  • Carrot Fertility reimbursement
  • 13 paid holidays + Holiday Break
  • Flexible PTO
  • Employee Assistance Program (EAP)
  • Training and professional development

Skills

SQLPythonRExperimentationA/B TestingCausal InferenceCupedDiff-In-DiffSynthetic ControlsPropensity ModelingMarketing AnalyticsCohort AnalysisSegmentationAttribution ModelingStatistical Inference

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