Data Scientist 2
Tasks
- Analyze engineering test and validation data
- Automate engineering data workflows
- Build data models
- Build statistical models for engineering decisions
- Collaborate with engineering and IT stakeholders
- Deploy custom and third party AI models
- Develop business intelligence dashboards
- Evaluate and implement AI solutions
- Implement Data Governance and Data Quality
- Integrate engineering data sources
- Manage data in MongoDB and relational databases
- Perform design verification analytics
- Standardize engineering data pipelines
- Support engineering trade studies
- Write SQL queries and transformations
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Automation | Dashboards | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data Transformation | Data integration | Machine Learning | MongoDB | NoSQL | Onshape | Power BI | Relational databases | SQL | Statistical Analysis | Tableau
Education
Roles
Analytics | Analytics Engineer | Data Scientist | Engineer | Scientist
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