Manufacturing Engineer – Data Science
USD 81K-116K (estimate) Entry-level Full Time
Tasks
- Accelerate root cause identification
- Analyze Cpk metrics
- Automate reporting
- Build predictive models
- Build prescriptive models
- Conduct SPC analysis
- Create data dashboards
- Deploy corrective actions
- Deploy models to production
- Develop analytics pipelines
- Identify and develop AI use cases
- Monitor yield and SPC metrics
- Perform hypothesis testing
- Perform multivariate analysis
- Perform statistical analysis
- Run DOE experiments
- Support root cause analysis
- Train and validate machine learning models
Perks/Benefits
Skills/Tech-stack
AWS | Anomaly Detection | Azure | CI/CD | Cause analysis | Cloud Computing | DOE | Data Visualization | GCP | Hypothesis Testing | MLOps | Machine Learning | Matplotlib | Model versioning | Multivariate analysis | NumPy | Pandas | Plotly | Power BI | Predictive Maintenance | PyTorch | Python | Root Cause Analysis | Root cause | SPC | SQL | Scikit-learn | Seaborn | Series analysis | Statistical Analysis | Tableau | TensorFlow | Time Series | Time Series Analysis
Education
N/A
Roles
Data Scientist | Engineer | Manufacturing Engineer | Scientist
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