Senior Data Scientist, ML (Brokerage)
Tasks
- Build recommendation system algorithms
- Define personalization opportunities
- Design scalable feature pipelines
- Develop features and models for prediction markets
- Implement ranking systems
- Measure incremental impact on customer engagement
- Run experiments to evaluate model performance
Perks/Benefits
- 401k matching
- Company holidays
- Disability insurance
- Life insurance
- Mental health benefits
- Paid health insurance
- Paid time off
- Parental leave
- Wellness spending account
Skills/Tech-stack
Causal Inference | Experimentation | Feature Engineering | Feature Pipelines | Machine Learning | Python | Ranking Systems | Recommendation Systems | SQL
Education
N/A
Roles
Regions
Countries
States
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