Data Scientist – Recommendation Systems

We are looking for a Data Scientist (Recommendations) to design, build, and scale personalized recommendation systems that power discovery, ranking, and user engagement across our products.

Requirements

• Design and develop recommendation systems including Collaborative Filtering (user-item, item-item) Content-based and hybrid recommenders
• Ranking and re-ranking models Embedding-based retrieval (ANN, vector search)
• Train, evaluate, and iterate on models using offline metrics (NDCG, MAP, Recall@K) and online A/B experiments
• Optimize inference for scale (caching, batching, approximate nearest neighbors)
• Build real-time and batch recommendation pipelines
• Monitor model performance, data drift, and system health

Benefits

• Competitive salary
• Opportunities for career growth
• Collaborative and dynamic work environment