Data Scientist II
Tasks
- Build and implement predictive and prescriptive models
- Build dimensional models tables and schemas
- Conduct statistical analysis and hypothesis testing
- Deliver actionable insights for go to market strategies
- Design and implement data pipelines
- Extract data from relational databases
- Forecast event sport and sales partnership performance
- Improve data governance and data quality
- Lead end to end model development and execution
- Perform ETL and data integration
- Perform KPI analysis and communicate results to leadership
- Predict impact of service levels on ridership and revenue
- Quantify ridership and revenue impacts of business opportunities
- Run A B test analysis
- Support data engineering for machine learning
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Cloud platform | Data Governance | Data Pipelines | Data Quality | Data Science | Data integration | Databricks | Dimensional Modeling | ETL | Forecasting | Google Cloud | Google Cloud Platform | Hypothesis Testing | KPI analysis | Machine Learning | Microsoft Azure | Microsoft Office | Power BI | Predictive Modeling | Prescriptive Modeling | PySpark | Python | Relational databases | SQL | Spatial analytics | Statistical Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Data Scientist II | Scientist | Scientist II
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