Lead Data Scientist
Tasks
- Build and deploy production machine learning models
- Collaborate on success metrics and deployment plans
- Communicate model tradeoffs to stakeholders
- Conduct statistical evaluation and causal inference
- Iterate on machine learning models using monitoring data
- Perform feature engineering and model development
- Run A B experimentation and analyze results
- Translate business problems into ML objectives
Perks/Benefits
Skills/Tech-stack
Apache Airflow | Causal Inference | Cloud platform | DBT | Experimental Design | Feature Engineering | Feature Selection | Google BigQuery | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Personalization | PyTorch | Python | Ranking | Recommendation Systems | SQL | Scikit-learn | Statistical modeling | 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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