Data Scientist
Tasks
- Analyze customer behavior across marketing and digital channels
- Apply causal inference to estimate causal effects
- Build scalable analytical pipelines using Python and SQL
- Communicate analytical findings to stakeholders
- Design and evaluate marketing experiments and A B tests
- Develop and deploy predictive models using AWS SageMaker
- Develop statistical and machine learning models
- Identify drivers of acquisition engagement conversion and retention
- Maintain version controlled workflows using AWS CodeCommit
- Query and analyze datasets in Amazon Redshift
- Translate business questions into statistical analysis frameworks
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS CodeCommit | AWS SageMaker | Amazon Redshift | B testing | Causal Inference | Data Analysis | Experimentation | Machine Learning | Predictive Modeling | Python | SQL | Statistical modeling
Education
Roles
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