Lead Data Scientist
Tasks
- Build forecasting models
- Build predictive models
- Conduct causal inference
- Deploy machine learning models
- Design and run experiments
- Evaluate model quality
- Maintain model versioning
- Monitor model drift
- Partner with ML and AI engineers
- Partner with data engineers
- Set data science technical direction
- Use AI development tools for analysis and modeling
Perks/Benefits
- 401k match
- Dental insurance
- Equipment provided
- Health insurance
- Healthcare service
- PTO
- Paid Holidays
- Paid parental leave
- Remote work
- Vision insurance
- Volunteer days
Skills/Tech-stack
A/B | A/B Testing | B testing | Calibration | Causal Inference | Databricks | Gradient boosting | Lakehouse | MLflow | Machine Learning | Model Drift | Model Monitoring | Power analysis | Python | SQL | Scikit-learn | Series forecasting | Significance Testing | Time Series | Time Series Forecasting | Uplift Modeling | Version control
Education
N/A
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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