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

• Tensor Flow / Py Torch / XGBoost / Light GBM

• Feature stores, batch + streaming pipelines

What we're looking for:

• Solid experience in recommender systems or ranking problems.

• Deep understanding of ML systems (not just modeling).

• Experience with experimentation and causal thinking.

• Ability to formalize business problems into ML/optimization frameworks.

📌 Senior Data Scientist (Bengaluru)
🏢 Falabella India
📍 Bengaluru