Senior Data Scientist
Tasks
- Apply causal inference
- Build and deploy machine learning models
- Build feature stores
- Create attribution and measurement systems
- Define best practices for experimentation and data quality
- Design and analyze A/B tests
- Develop features and training pipelines
- Improve ranking and recommendation systems
- Measure incrementality
- Monitor model performance
- Own end-to-end modeling projects
- Perform batch and real time scoring
- Productionize machine learning models
- Translate modeling outputs into insights
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Airflow | Attribution Modeling | B testing | Causal Inference | Collaborative Filtering | DBT | Diff-in-diff | Embeddings | Experimentation | Feature Store | Incrementality | Machine Learning | Pandas | Personalization | PyTorch | Python | Ranking | Recommendation Systems | SQL | Scikit-learn | Spark | Uplift Modeling | XGBoost
Education
N/A
Roles
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