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3 часа назад

Senior Data Scientist (Healthcare)

164 800 - 247 200$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/India/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Scientist (Healthcare): Building measurement frameworks, experiment-ready datasets, and analytical models for emerging digital healthcare products with an accent on growth analytics, funnel optimization, experimentation, and member engagement. Focus on designing causal A/B tests, defining metrics in greenfield environments, developing predictive segmentations, and translating findings into product and marketing decisions.

Location: San Francisco, United States; hybrid attendance required three days per week for the full eight-hour business day.

Salary: $164,800–$247,200 annual base salary, plus equity and benefits.

Company

hirify.global uses AI-powered technology and human-centered care to scale digital healthcare for musculoskeletal conditions and other health programs.

What you will do

  • Define measurement frameworks and success metrics for emerging products and programs.
  • Analyze member and customer behavior through funnel analyses, root-cause investigations, and growth opportunity assessments.
  • Partner with Growth Marketing, Product, Engineering, Design, and Data Science to shape product positioning, launches, and scaling strategies.
  • Design and evaluate A/B tests and other experiments using causal guardrails to measure incremental impact and detect cannibalization.
  • Build statistical models, user segmentations, data models, experiment-ready datasets, dashboards, and self-service analytics tools.
  • Improve event instrumentation and data quality with Engineering through consistent schemas, timestamps, and validation.

Requirements

  • Bachelor’s degree in Computer Science, Economics, Mathematics, Statistics, or a related technical field, or equivalent professional experience.
  • 3+ years of experience working with large datasets to solve business and technology problems.
  • 3+ years of experience using SQL and Python or R for end-to-end data analysis.
  • Experience with A/B testing, causal inference, funnel analysis, metrics definition, data modeling, and measurement frameworks.
  • Knowledge of machine learning techniques for predictive modeling, segmentation, forecasting, and recommendation systems.
  • Experience with cloud and data tools such as AWS, Databricks, Airflow, and dbt.

Nice to have

  • Growth or product analytics experience involving new product launches, partner analytics, referral tracking, or marketplace data science.
  • Experience defining event taxonomies and data architecture for new product surfaces.
  • Familiarity with Statsig, Split, Optimizely, Mode, Tableau, or similar platforms.
  • Background in healthcare, digital health, wellness, or member engagement analytics.
  • Experience using AI-assisted coding tools for prototyping, analysis, and production development.

Culture & Benefits

  • Hybrid work model combining remote and in-person work, with three required office days per week.
  • Medical, dental, and vision coverage for employees and family members.
  • Support for gender-affirming care, family and fertility planning, and healthcare travel reimbursement where care is unavailable locally.
  • Traditional or Roth 401(k) options with a 2% company match.
  • Learning and development stipends and discounted company stock through an ESPP.
  • Dog-friendly San Francisco office.

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