Senior Associate – Data Scientist
Tasks
- Apply model explainability fairness and interpretability methods
- Apply regression classification clustering NLP and forecasting
- Conduct A B testing and controlled experiments
- Define hypotheses and success metrics
- Design, train, and evaluate machine learning models
- Ensure input data meets quality lineage and governance standards
- Explore clean and transform structured data
- Explore clean and transform unstructured data
- Implement CI/CD workflows for machine learning
- Monitor model performance post-deployment
- Prepare datasets for modeling using Python and SQL
- Present results with visualizations and storytelling
- Productionize AI models with reproducible pipelines
- Train and evaluate models using appropriate statistical techniques
- Translate business problems into data science projects
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Governance | APIs | Airflow | Azure | B testing | CI/CD | Databricks | Deep learning | Docker | Fairness | Git | GitHub | Interpretability | Kubernetes | LightGBM | MLflow | Machine Learning | Model Explainability | Model Risk Management | Model risk | NumPy | Pandas | PyTorch | Python | Risk Management | SQL | Scikit-learn | Snowflake | TensorFlow | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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