Data Scientist II
Tasks
- Analyze cross-channel marketing performance
- Analyze customer and behavioral data for acquisition and retention
- Apply AI tools to accelerate analysis
- Apply statistical predictive and analytical methods
- Build and validate targeting and personalization models
- Build attribution models for incremental marketing impact
- Collaborate with Marketing Engineering Product and Analytics
- Communicate insights and recommendations to stakeholders
- Design and analyze A/B tests
- Develop audience segments and personalization models
Perks/Benefits
- 401k with company match
- Legal coverage
- Life insurance
- Long-term disability
- Medical, dental, and vision coverage
- Mental health and wellness resources
- Paid time off
- Short-term disability
- Volunteer time
Skills/Tech-stack
A/B | A/B Testing | Attribution Modeling | B testing | Bayesian statistics | Boosted Regression Trees | Clustering | Decision Trees | Experimental Design | Frequentist Statistics | Hierarchical Clustering | Hypothesis Testing | K-Means | K-Nearest Neighbors | K-nearest | Linear Regression | Logistic Regression | Machine Learning | Mixture Modeling | Nearest neighbors | Nonlinear regression | Power analysis | Python | R | Random Forests | Regression Trees | SQL
Education
Roles
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