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, ...
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, ...