Senior Data Scientist

Role - Senior Data Scientist

Experience: 3 to 5 years.

About the role: Youll design and own large-scale personalization systems that decide which products to show, to whom, and when, under multiple business constraints.

What youll 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 were 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.