Senior Data Scientist
Tasks
- Analyze A/B testing results
- Apply clustering
- Apply regression
- Apply tree based models
- Build customer segmentation models
- Build performance models
- Build scalable data assets
- Communicate tradeoffs and assumptions
- Conduct causal inference
- Create dashboards
- Define success metrics
- Deploy models in production
- Design experiments
- Develop features for scoring
- Ensure model interpretability
- Ensure model robustness
- Mentor junior data scientists
- Monitor model performance
- Recommend actions to senior leaders
- Run batch scoring
- Run real time scoring
- Scope end to end data science projects
- Translate business problems into analytics approaches
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Airflow | B testing | Batch Processing | Causal Inference | Clustering | DBT | Data Modeling | Decision Trees | Experiment design | Feature Engineering | Machine Learning | Model Monitoring | Pandas | PySpark | Python | Real Time | Real-time Processing | Regression | SQL | Scikit-learn | Snowflake | Spark | Statistics | Time processing
Education
N/A
Roles
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