Principal Data Scientist, Causal Inference
Hybrid - Denver, United States
R
USD 180K-238K Senior-level Full Time
Tasks
- Adopt new tools and model forms
- Create technical training and documentation
- Design and validate experiments
- Diagnose data quality issues
- Lead causal inference measurement methodology
- Lead code reviews and architecture discussions
- Manage enterprise data science initiatives
- Mentor junior data scientists
- Present technical concepts to executives
- Troubleshoot measurement anomalies
- Validate statistical assumptions
Perks/Benefits
- 401k match
- Employee stock purchase program
- Flexible time off
- Medical, dental, vision benefits
- Occasional meals
- Paid parking
- Snacks
Skills/Tech-stack
A/B | A/B Testing | AWS | Apache Spark | Azure | B testing | CI/CD | Code review | Design Patterns | Difference-in-differences | Ensemble Methods | Feature Engineering | GCP | Git | MLOps | Machine Learning | Model Deployment | Model Monitoring | Propensity Score Matching | Propensity score | PySpark | Python | Randomized-Controlled Trials | Regression discontinuity | SQL | Score Matching | Statistical modeling | Time Series | Unit Testing
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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