Principal Supervisor - Data Science
Tasks
- Add statistical rigor to recommendations
- Advise leadership using data driven insights
- Apply data science methods to identify business opportunities
- Collect refine adapt and communicate best practices
- Coordinate reporting and budgeting
- Define performance metrics
- Design analytics process improvements
- Develop optimization algorithms
- Develop predictive models
- Develop short term and long term analytics projects
- Discover insights from Big Data
- Ensure end-to-end project execution
- Establish quality and quantity standards
- Handle staffing training coaching and performance management
- Implement statistical mathematical machine learning methodologies
- Lead planning organizing and directing analytical work
- Lead team for analytics strategy
- Oversee artificial intelligence projects
- Oversee business intelligence projects
- Oversee machine learning projects
- Perform pattern detection analysis
- Predict performance outcomes
- Recommend business intelligence technologies
- Refine modeling and analytics methods
- Translate business goals to data based deliverables
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Alteryx | Artificial Intelligence | Azure | B testing | Big Data | Business Objects | C# | Data Mining | Data Modeling | Deep learning | Excel | Hadoop | Hypothesis Testing | Java | JavaScript | Language Processing | MATLAB | Machine Learning | Microsoft Power | Microsoft Power BI | Minitab | Model Optimization | Multivariate Statistical Analysis | Natural Language | Natural Language Processing | Oracle | PHP | Power BI | Predictive Modeling | Python | R | Regression Analysis | SAP Business | SAP Business Objects | SAS | SPSS | SQL | Stata | Statistical Analysis | Supervised Learning | Unsupervised Learning
Education
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