Data Scientist
Auburn Hills, MI, United States
USD 116K-174K (estimate) Mid-level Full Time
Tasks
- Collaborate with business stakeholders
- Communicate results to technical and non-technical audiences
- Conduct peer code reviews
- Create visualizations and dashboards for decision-making
- Define and source data features for modeling
- Define model monitoring and versioning
- Deploy and maintain models in production
- Design and implement econometric models
- Develop and validate predictive models
- Develop defensible model methodologies
- Estimate price and incentive elasticities
- Identify statistical and machine learning use cases
- Implement causal inference models
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | CI/CD | Causal Inference | Clustering | Component analysis | Dashboarding | Data Pipelines | Data Visualization | Databricks | Difference-in-difference | Dimensionality Reduction | Discriminant analysis | Event Driven | Event-driven architecture | Experimental Design | Gradient boosting | LDA | LightGBM | Linear Discriminant Analysis | Logistic Regression | MLOps | Machine Learning | Model Monitoring | Model versioning | Neural Networks | PCA | 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 | Statistical inference | Tree-based Models | XGBoost
Education
Roles
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