Data Scientist
Tasks
- Build statistical and ML audience segmentation models
- Develop propensity and lookalike models
- Lead data fusion to create consumer view
- Measure audience reach overlap and lift
- Partner with ML Engineering to deploy monitored models in production
- Propose new audience features and methods
Perks/Benefits
Skills/Tech-stack
Apache Spark | By Design | CCPA | Causal Inference | Data Fusion | Databricks | Experimental Design | GDPR | Pandas | Privacy by Design | Propensity Modeling | Python | SQL | Scikit-learn | Snowflake | StatsModels | Uplift Modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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