Data Scientist
Tasks
- Analyze structured and unstructured datasets
- Automate recurring machine learning workflows
- Build end-to-end machine learning solutions
- Conduct causal analysis and hypothesis testing
- Create dashboards reports and visualizations
- Design execute and evaluate A B experiments
- Develop predictive models
- Develop scalable data pipelines
- Document methodologies and results
- Evaluate validate and optimize model performance
- Perform data preprocessing and feature engineering
- Support deployment and monitoring of machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal analysis | Classification | Cloud Computing | Clustering | Data Pipelines | Data Preprocessing | Data Visualization | Feature Engineering | Hypothesis Testing | Machine Learning | Model Monitoring | NumPy | Pandas | Predictive Analytics | Python | Regression | SQL | Scikit-learn | Statistics
Education
N/A
Roles
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