Data Scientist 2 - Virtual - Freewheel
Tasks
- Analyze customer and product behavior patterns
- Analyze large datasets for actionable insights
- Build and validate machine learning models
- Build predictive models to forecast customer actions
- Collaborate with product, engineering, and analytics teams
- Conduct experiments and define data analysis problems
- Conduct trend analysis
- Construct data mining frameworks
- Derive insights from big data
- Develop automated analytical workflows and dashboards
- Develop reusable data pipelines
- Document model methodologies
- Evaluate model performance
- Implement data cleansing and integration solutions
- Implement statistical and mathematical models
- Perform code reviews
- Present technical findings to stakeholders
- Synthesize research findings to optimize business processes
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Classification | Clustering | Dashboards | Data Mining | Data Pipelines | Deep learning | Experiment design | Forecasting | MLOps | Machine Learning | PySpark | Python | Regression | SQL | Statistical Analysis
Education
Roles
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