Sr. Data Scientist
Chicago, Illinois, United States
USD 150K-178K (estimate) Senior-level Full Time
Tasks
- Analyze large scale internal and external data sources
- Apply statistical techniques and feature engineering
- Collaborate on data collection strategies analytics pipelines and feature stores
- Define validation strategies and performance metrics
- Lead machine learning model development and deployment
- Mentor data scientists and provide technical feedback
- Monitor models for performance drift and stability
- Own data science solutions from concept through production
- Partner with data engineering and IT for production readiness
- Provide technical leadership best practices and documentation
- Retrain and recommend model enhancements
- Support advanced use cases optimization simulation and early stage AI initiatives
- Translate analytical results into actionable insights
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Cloud platform | Data Drift | Data Drift Detection | Data pipeline | Distributed Computing | Drift Detection | Feature Engineering | Feature Store | Forecasting | Google Cloud | Google Cloud Platform | Linux | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model retraining | Optimization | Python | SQL | Simulation | Statistical modeling
Education
Roles
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