Data Scientist
Summary
Data Scientist at a family foundation in San Francisco (hybrid). Day-to-day work spans A/B testing, building data pipelines, predictive and recommendation modeling, dashboards/visualizations, and partnering with teams to define and measure success metrics.
- Analyze A/B tests
- Build and maintain data pipelines
- Build predictive models
- Build recommendation systems
- Communicate complex analyses
- Create dashboards and visualizations
- Design and conduct analyses
- Design and optimize data infrastructure
- Develop experimentation frameworks
- Ensure data quality, governance and consistency
- Identify trends and patterns in data
- Partner with teams to define metrics and measure success
- Translate findings into recommendations
Perks/Benefits:
- 401k employer match
- Dental insurance
- Hybrid work
- Medical insurance
- Paid time off
- Vision insurance
