Data Scientist II
Tasks
- Analyze customer and behavioral data
- Build audience segments and personalization models
- Build predictive and statistical models
- Communicate insights to technical and non-technical stakeholders
- Deploy data science projects to production
- Design and analyze A/B tests
- Develop attribution models for marketing measurement
- Extract and analyze data from relational and non relational sources
- Perform customer growth and retention analysis
Perks/Benefits
- 401k match
- Dental insurance
- Life insurance
- Long-term disability
- Medical insurance
- Mental health resources
- Paid time off
- Short-term disability
- Vision insurance
- Volunteer time
Skills/Tech-stack
A/B | A/B Testing | Attribution Modeling | B testing | Bayesian Methods | Boosted Regression Trees | Clustering | Customer Segmentation | Decision Trees | Experiment design | Gradient boosting | Hierarchical Clustering | Hypothesis Testing | K-Means | KNN | Linear Regression | Logistic Regression | Machine Learning | Personalization | Power analysis | Propensity Modeling | Python | R | Random Forests | Regression | Regression Trees | SQL
Education
Roles
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