Data Scientist
Core
Design and experiment with algorithms to power personalized real-time sales recommendations for millions of users across hundreds of thousands of products.
Role type
Data Scientist (Recommender Systems)
Builds
Personalized recommendation models for e-commerce flash sales
Domain
E-commerce / Retail
Deliverable
production ML models
Required skills
Python (Pandas, NumPy, Scikit-Learn), SQL, Machine Learning algorithms, XGBoost, LightGBM, TensorFlow, Pytorch, statistics, experimentation design
Preferred skills
Recommender systems experience, e-commerce domain knowledge
Technologies
XGBoost, LightGBM, TensorFlow, Pytorch, Pandas, NumPy, Scikit-Learn
Responsibilities
Design, train, and evaluate recommender system models; conduct data exploration and feature engineering; perform offline experiments and A/B tests; collaborate with ML Engineers on model deployment; present findings during Data Science Demos
Seniority
Mid-level, hands-on IC