Data Scientist, Consumer Analytics
Tasks
- Analyze large datasets to identify trends and drivers
- Build and maintain scalable data pipelines and features
- Communicate insights to technical and non-technical audiences
- Define success metrics and testable hypotheses
- Develop and deploy production quality models
- Improve data quality model governance and responsible data use
- Lead end to end analytical and machine learning solution design
- Run and evaluate A B tests backtesting and error analysis
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Backtesting | Cloud Data | Cloud Data Platforms | Data Pipelines | Data Science | Data platforms | Distributed Computing | Experimentation | Feature Engineering | Machine Learning | Model Validation | Python | SQL
Education
Roles
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