Found Description
Role - Senior Data Scientist Experience: 3 to 5 years. About the role: You’ll design and own large-scale personalization systems that decide which products to show, to whom, and when, under multiple business constraints. What you’ll do: • Build end-to-end recommender systems: - Candidate generation (retrieval models, embeddings, ANN search) - Ranking / re-ranking (GBDT, deep learning, hybrid approaches) • Design objective functions aligned with business goals (CVR, revenue, margin). • Develop decision systems (multi-objective optimization, constraints). • Implement and analyze online experiments (A/B, multi-armed bandits). • Define feature pipelines (user embeddings, sequence features, context signals) Current challenges: • Transition from batch recommendations → near real-time personalization. • Multi-objective optimization (e.g., relevance vs margin vs inventory). • Cold start and sparse user behavior Tech stack (indicative): • Python, SQL • TensorFlow / PyTorch / XGBoost / LightGBM ...