3 часа назад
Senior Data Scientist (Healthcare)
164 800 - 247 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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