Senior Data Scientist

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

• Feature stores, batch + streaming pipelines

What we're looking for:

• Strong 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.