Data Scientist
Auburn Hills, MI, United States
USD 107K-186K (estimate) Mid-level Full Time
Tasks
- Collaborate to support KPI measurement
- Collaborate with business stakeholders identify use cases for statistical and machine learning
- Communicate results to technical and non-technical audiences
- Conduct peer code reviews and support best practices
- Design and implement econometric and causal inference models
- Develop and validate predictive models
- Develop defensible documented methodologies
- Estimate and interpret price and incentive elasticities
- Maintain models in production environments
- Partner with data engineers define and source features
Perks/Benefits
- Company Vehicle Lease Program
- Dental insurance
- Disability insurance
- Employer 401k match
- Fertility and Infertility Support
- Health insurance
- Life insurance
- Paid time off
- Paid volunteer hours
- Parental leave
- Student loan refinancing
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
Apache Spark | CI/CD | Causal Inference | Clustering | Component analysis | Data Pipelines | Databricks | Difference-in-difference | Dimensionality Reduction | Discriminant analysis | Event Driven | Event-driven architecture | Gradient boosting | LightGBM | Linear Discriminant Analysis | Logistic Regression | MLOps | Machine Learning | Model Monitoring | Model versioning | Neural Networks | Power BI | Principal Component Analysis | PySpark | Python | Random Forest | Real Time | Real-time Data | Real-time data pipelines | Regression | Regression Discontinuity Design | Regression discontinuity | SQL | Snowflake | XGBoost
Education
Roles
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