Data Scientist (Hybrid)
Tasks
- Analyze complex datasets
- Collaborate with data engineers
- Conduct statistical analysis
- Deliver actionable insights
- Deploy models
- Design and evaluate experiments
- Design predictive models
- Develop predictive and analytical models
- Document models
- Evaluate machine learning models
- Explain analytical findings to non technical audiences
- Maintain predictive and analytical models
- Manage model validation
- Monitor model performance
- Perform exploratory data analysis
- Perform feature engineering
- Retrain models periodically
- Stay informed on data science best practices
- Support data-driven business decisions
- Test models
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Data Analysis | Data Visualization | Exploratory Data Analysis | Feature Engineering | Machine Learning | Model Evaluation | Python | R | SQL | Statistical Analysis | Tableau
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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