Principal Data Scientist - Consumer
Core
Technical lead for consumer personalization, designing and shipping recommendation, ranking, and agentic AI models for search, browse, carts, and marketing.
Role type
Principal Data Scientist (Consumer Personalization & Agentic AI)
Builds
Recommendation and ranking systems, LLM-powered agentic shopping assistants, and production ML pipelines for a quick-commerce marketplace.
Domain
E-commerce / Quick Commerce / Retail
Deliverable
production ML models
Required skills
Recommendation systems, Learning-to-rank, Agentic AI with LLMs, Gradient boosting, Causal inference, A/B testing, Python, SQL, Snowflake
Preferred skills
Databricks/Spark, Real-time recommendations, Reinforcement learning, Agent frameworks, dbt/Airflow
Technologies
PyTorch, TensorFlow, XGBoost, LightGBM, Snowflake, Databricks, Spark, MLflow, dbt, Airflow
Responsibilities
Define modeling strategy for personalization across feed, search, and cart; Build candidate generation and retrieval systems; Lead development of LLM-powered shopping agents; Evaluate and select between classic ML and LLM approaches; Design and run rigorous A/B tests; Partner with engineering on model serving and monitoring; Mentor senior data scientists and set technical standards.
Seniority
Principal, hands-on IC with mentorship
