Data Scientist
Tasks
- Analyze audience data and detect anomalies
- Build forecasting models across streaming and commercial performance
- Collaborate with data engineering to define data requirements
- Communicate insights using data visualization
- Conduct hypothesis testing for real time audience insights
- Deploy machine learning models to production
- Develop targeting and propensity scoring models
- Optimize marketing campaign impact using experimentation
Perks/Benefits
- N/A
Skills/Tech-stack
Backtesting | Data Visualization | Experimentation | Forecasting | Ggplot2 | Hierarchical Bayesian | Lookalike modeling | Machine Learning | Matplotlib | Propensity scoring | Python | R | Regression | SQL | Statistical modeling
Education
Roles
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