Data Scientist
Dallas, Texas, United States
A USD 159K-215K (estimate) Senior-level Full Time
Tasks
- Apply causal inference techniques
- Build scalable analytical pipelines using Python and SQL
- Design and evaluate marketing experiments and AB tests
- Develop and deploy predictive models using AWS SageMaker
- Develop statistical and machine learning models
- Identify drivers of customer acquisition engagement conversion and retention
- Maintain version controlled analytical workflows using AWS CodeCommit
- Present analytical findings and recommendations
- Query and analyze large datasets in Amazon Redshift
- Translate business questions into statistical analysis frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS CodeCommit | AWS SageMaker | Amazon Redshift | B testing | Causal Inference | Experiment design | Machine Learning | Predictive Modeling | Python | SQL | Statistical modeling
Education
Roles
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