Staff Data Scientist
GM Global Technical Center - Cadillac Tower, United States
USD 160K-246K Senior-level Full Time
Tasks
- Build scalable feature pipelines and reusable analytical assets
- Communicate model behavior assumptions limitations and recommendations
- Deliver end to end solutions with cross functional partners and maintain documentation
- Deploy models as production services batch processes and decision support
- Design and analyze experiments pilots and champion challenger approaches
- Develop forecasting causal inference experimentation and optimization solutions
- Develop validate improve predictive models
- Evaluate model performance calibration bias interpretability robustness and operational fit
- Frame business problems into analytical objectives
- Implement MLOps practices dependency management versioning data lineage experiment tracking and model release management
- Investigate production issues identify root causes and improve models and pipelines
- Monitor accuracy data quality drift latency availability and business performance
- Perform exploratory analysis data quality assessment feature selection leakage detection
- Set drift thresholds automated alerts retraining criteria and service level expectations
Perks/Benefits
- Dental insurance
- Employee assistance program
- Employee vehicle discounts
- Flexible spending accounts
- Health insurance
- Health savings account
- Life insurance
- Paid vacation and holidays
- Remote work
- Retirement savings plan
- Sickness and accident benefits
- Tuition assistance programs
- Vision insurance
Skills/Tech-stack
Azure | CI/CD | Causal Inference | Classification | Cloud Data | Cloud Data Warehouses | Containerization | Data Analysis | Data Lineage | Data Quality | Data Science | Data Warehouses | Data leakage | Data leakage detection | Data quality assessment | Databricks | Drift Detection | Experiment design | Experiment tracking | Exploratory Data Analysis | Feature Engineering | Feature Selection | Forecasting | Language Processing | Leakage detection | MLOps | MLflow | Machine Learning | Model Evaluation | Model Interpretability | Model Monitoring | Model calibration | Model versioning | Natural Language | Natural Language Processing | NumPy | Optimization | Pandas | PySpark | PyTorch | Python | Quality Assessment | REST APIs | Recommendation Systems | SQL | Scikit-learn | Segmentation | Series forecasting | Spark | Statistical Analysis | TensorFlow | Time Series | Time Series Forecasting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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