Data Scientist Senior
Tasks
- Apply AI and data science to manufacturing operations
- Build MLops pipelines
- Define business problems with stakeholders
- Develop AI strategy
- Develop and advance prototypes to production ready products
- Develop data visualizations and dashboards
- Develop machine learning models
- Integrate AI capabilities into existing products
- Interface with databases
- Maintain and enhance data products
- Maintain and enhance legacy product suite
- Work with structured and unstructured data
Perks/Benefits
- 401k match
- Education assistance
- Flexible scheduling
- Holidays
- Life insurance
- Long-term disability
- Paid time off
- Parental leave
- Short-term disability
Skills/Tech-stack
AWS | C++ | Cloud Computing | Computer Vision | Continuous Deployment | Continuous integration | Data Engineering | Data Modeling | Data Security | Data Visualization | Deep learning | Docker | Git | GitHub | GitLab | Go | Java | Keras | MLOps | Machine Learning | MongoDB | NumPy | Pandas | PyTorch | Python | SAP HANA | SQL | Scikit-learn | Tableau | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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