Data Scientist II 4P/573
Tasks
- Access integrate data sources
- Apply statistical techniques for data driven decisions
- Build dashboards and visualizations
- Collect clean analyze complex datasets
- Communicate insights to technical and non-technical stakeholders
- Conduct hypothesis testing and statistical validation
- Deploy machine learning models into production environments
- Design and analyze A/B tests
- Develop and deploy machine learning models
- Engineer and select features to improve model performance
- Ensure ethical data practices and compliance
- Fine tune model parameters and validate predictive accuracy
- Identify trends patterns and actionable insights
- Mentor junior data scientists and analysts
- Monitor model performance and retrain
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Classification | Cloud deployment | Clustering | Decision Trees | Distributed Computing | Feature Engineering | Gradient boosting | Hadoop | Hypothesis Testing | Julia | Machine Learning | Matplotlib | Model Optimization | Neural Networks | Power BI | Python | R | Random Forests | Regression | SQL | Seaborn | Spark | Statistical modeling | Tableau
Education
Roles
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