Applied Scientist – Marketing & Personalization
Tasks
- Build data pipelines
- Build personalization systems
- Define feature stores
- Design A/B tests
- Design incrementality experiments
- Develop recommendation models
- Drive predictive modeling
- Integrate models into production
- Lead CLV prediction
- Mentor peers
- Monitor model performance
- Participate in code reviews
- Translate model results into insights
Perks/Benefits
- Employee shares program
- Family services
- Gympass
- Hybrid working model
- Mental health support
- Paid volunteering days
- Peer-to-peer review
- Relocation assistance
- Training platform
- Work from abroad
Skills/Tech-stack
A/B | A/B Testing | B testing | CLV Prediction | Causal Inference | Churn Prediction | Collaborative Filtering | Content-Based Filtering | Content-based | Data pipeline | Databricks | Deep learning | Ecommerce analytics | Experimentation | Feature Store | Machine Learning | Model Monitoring | Propensity Modeling | PySpark | Python | Ranking | Recommendation Systems | SQL
Education
Roles
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