Data Scientist, Mid level
Tasks
- Apply machine learning to unstructured data
- Build applications
- Build automations
- Build dashboards
- Build predictive risk models
- Conduct data calls
- Connect to APIs
- Create business intelligence analysis
- Create business intelligence visualizations
- Create user guides
- Document BI products
- Improve risk assessment methodologies
- Integrate Python into services
- Integrate R into services
- Integrate SQL into services
- Normalize data
- Perform ETL
- Research data integration solutions
- Research data storage solutions
- Visualize data
Perks/Benefits
Skills/Tech-stack
API Integration | Anaconda | Business Intelligence | Data Normalization | Data Storage | Data Visualization | Data integration | ETL | InfoPath | Language Processing | MATLAB | Machine Learning | Natural Language | Natural Language Processing | NumPy | Power BI | Power Platform | Predictive Modeling | Python | R | SPSS | SQL | SharePoint | Statistical Analysis | Weka
Education
N/A
Roles
Regions
Countries
States
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