Lead Data Scientist
Tasks
- Build deploy and iterate on production machine learning models
- Collaborate with product engineering and analytics on success metrics and deployment plans
- Communicate technical findings and model tradeoffs to stakeholders
- Conduct model development evaluation causal inference and tradeoff analysis
- Own projects end to end from feature engineering to launch and monitoring
- Run A B experimentation for model impact
- Translate business problems into ML objectives
Perks/Benefits
Skills/Tech-stack
Airflow | Causal Inference | Cloud Computing | DBT | Experimental Design | Feature Engineering | Feature Selection | GCP | Hyperparameter Tuning | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Model Optimization | Personalization | PyTorch | Python | Ranking | Recommendation Systems | SQL | Scikit-learn | Search | Statistical Learning | TensorFlow | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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