Data Scientist II
Tasks
- Analyze cross-channel marketing performance
- Analyze customer campaign behavioral data
- Apply statistical predictive analytical techniques
- Build attribution models
- Build validate refine targeting and retention models
- Communicate analytical findings to stakeholders
- Design, execute, analyze A/B tests
- Develop audience segments and personalization models
- Evaluate test results and recommend optimizations
- Work with large datasets to generate insights
Perks/Benefits
- 401k match
- Legal coverage
- Life insurance
- Medical, dental, and vision insurance
- Mental health and wellness resources
- Paid time off
- Short-term and long-term disability
- Volunteer time off
Skills/Tech-stack
A/B | A/B Testing | Attribution Modeling | B testing | Bayesian Methods | Boosted Regression Trees | Clustering | Decision Trees | Experimental Design | Frequentist Methods | Hierarchical Clustering | Hypothesis Testing | K-Means | KNN | Linear Regression | Logistic Regression | Power analysis | Python | R | Random Forests | Regression Trees | SQL
Education
Roles
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