Data Scientist - Commercial Analytics
Auburn Hills, MI, United States
USD 125K-207K (estimate) Mid-level Full Time
Tasks
- Build and validate predictive models
- Communicate results to technical and non-technical audiences
- Conduct peer code reviews
- Define and source model features with data engineers
- Develop statistical machine learning methodologies
- Identify machine learning use cases
- Maintain production models for scalability and performance
- Measure KPIs and support business requirements
- Present findings with visualizations
- Support model deployment best practices
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Causal Inference | Clustering | Data Pipelines | Databricks | Difference-in-difference | Dimensionality Reduction | Event Driven | Event-driven architecture | Experimental Design | Feature Engineering | Feature Store | Gradient boosting | LightGBM | Logistic Regression | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model Registry | Model versioning | Neural Networks | PCA | Power BI | PySpark | Python | Random Forest | Real Time | Real-time Data | Real-time data pipelines | Regression | Regression Discontinuity Design | Regression discontinuity | SQL | Snowflake | Spark | Statistical inference | XGBoost
Education
Roles
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