Data Scientist Level 2
Tasks
- Analyze datasets to identify trends patterns and insights
- Build and maintain databases and data pipelines
- Create data visualizations and dashboards
- Develop analytics statistical models and machine learning techniques
- Ensure data quality integrity and reproducibility
- Perform data wrangling cleaning transformation and feature engineering
- Translate stakeholder requirements into technical solutions
- Write Python code for analysis and modeling
Perks/Benefits
- N/A
Skills/Tech-stack
Data Pipelines | Data Querying | Data Transformation | Data Visualization | Data Wrangling | Data cleaning | Database Management | Feature Engineering | MATLAB | Machine Learning | Python | R | SAS | Statistical Analysis
Education
Roles
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