Data Scientist, Product
Tasks
- Advise on analytical design and hypothesis formulation
- Build scalable data pipelines
- Collaborate with product teams on data-driven decisions
- Communicate analytical results to stakeholders
- Conduct exploratory and confirmatory analyses
- Define success metrics and measurement frameworks
- Design and evaluate A/B experiments
- Develop predictive models and statistical frameworks
- Develop self-service dashboards
- Integrate AI tools into analytical workflows
- Size opportunities and track operational performance
Perks/Benefits
- N/A
Skills/Tech-stack
Bias Mitigation | Causal Inference | Dashboard Development | Data Pipelines | Data Visualization | Difference-in-differences | Ethical AI | Experiment design | Instrumental Variables | Machine Learning | Python | R | Regression discontinuity | SQL | Series forecasting | Statistical Testing | Time Series | Time Series Forecasting
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science
Roles
Regions
Countries
States
Cities
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