Senior Applied AI/ML Scientist - Retailer
Tasks
- Assign dynamic credit terms to minimize default risk
- Build machine learning models for shipping cost estimation
- Build personalization models for retailer lifecycle
- Collaborate with data scientists engineers and product managers to deliver projects
- Engineer features to improve model performance
- Evaluate retailer creditworthiness using predictive modeling
- Generate landing pages and content based on search demand
- Predict retailer lifetime value to optimize acquisition spend
- Use natural language processing to match keyword intent to content
Perks/Benefits
Skills/Tech-stack
C plus plus | Causal Inference | Deep learning | Experimentation | Java | Kotlin | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Python | SQL | Scikit-learn | Statistical modeling | XGBoost
Education
Roles
Regions
Countries
States
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