Data Scientist
Tasks
- Analyze data quality
- Build actionable insights
- Clean and transform data
- Collaborate with stakeholders on analytics
- Connect applications to data pipelines
- Create data visualizations
- Deploy user facing analytical applications
- Develop interactive data tools
- Develop rapid prototypes
- Develop statistical models
- Document technical specifications
- Lead workshops and training
- Maintain deployed data products
- Mentor junior data scientists
- Partner with data engineers on ETL and reporting
- Perform data mining
- Test validate data products
Perks/Benefits
- N/A
Skills/Tech-stack
Clustering | Dash | Data Cleansing | Data Pipelines | Data Transformation | Data Visualization | Decision Trees | Dimensional databases | Docker | ETL | Flask | Geocoding | Geospatial Data | GitHub | Kubernetes | Machine Learning | Neo4j | Neural Networks | Python | R | Regression Analysis | Relational databases | SQL | Shiny | Statistical Testing | Streamlit | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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