Principal Data Scientist
Tasks
- Apply causal inference and statistical modeling
- Build forecasting pipelines and decision support tools
- Build shift optimization systems
- Collaborate on data models and reporting layers
- Communicate findings to executive and non technical audiences
- Create dashboards for stakeholders
- Define clinical and coaching outcome metrics
- Define marketplace metrics
- Develop forecasting models
- Drive AI use in analytics and forecasting
- Identify demand variability drivers
- Lead forecasting experimentation and decision science
- Lead measurement frameworks for care journeys
- Mentor data scientists and analysts
- Optimize marketplace access capacity and fulfillment
- Own forecasting demand and supply
- Translate outcome insights into improvements
Perks/Benefits
- Healthcare coverage
- Hybrid work
- LifeTime Membership
- Parental leave
- Remote work
- Retirement savings match
- Wellness stipend
Skills/Tech-stack
Amazon Redshift | Amazon S3 | Amplitude | Apache Spark | Causal Inference | Data Modeling | Data Pipelines | Databricks | Decision Support Systems | Decision support | Experimentation | Forecasting | Looker | Machine Learning | Optimization | Python | SQL | Statistical modeling | Support systems | Tableau
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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