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