Quality Data Scientist - Electrical Systems & Field Quality Engineering
Auburn Hills, MI, United States
USD 115K-192K (estimate) Senior-level Full Time
Tasks
- Apply machine learning statistical forecasting and anomaly detection
- Build validate and deploy predictive models
- Collaborate to improve data accessibility model performance scalability and adoption
- Create executive ready PowerPoint presentations
- Define analytical questions with stakeholders and translate needs into use cases
- Develop dashboards and visualizations for monitoring and performance
- Develop reusable analytical workflows and data products
- Ensure data quality lineage documentation and model governance compliance
- Lead cross functional analytics and AI initiatives
- Manipulate integrate cleanse transform and analyze datasets with Python and SQL
- Monitor model performance detect degradation and recommend recalibration
- Perform exploratory diagnostic and predictive analysis
- Present findings to technical and nontechnical audiences
Perks/Benefits
- 401k match
- Company Vehicle Lease Program
- Disability insurance options
- Fully paid parental leave
- Health, dental, vision insurance
- Life insurance options
- Paid time off
- Paid volunteer hours
- Tuition reimbursement
- Wellbeing days
Skills/Tech-stack
Anomaly Detection | Classification | Clustering | Data Analysis | Data Cleansing | Data Modeling | Data Transformation | Data Validation | Data integration | Exploratory Data Analysis | Feature Engineering | Forecasting | Governance | Hypothesis Testing | MLOps | Machine Learning | Model Explainability | Model Monitoring | Power BI | PowerPoint | PySpark | Python | Regression | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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