Data Scientist II
Core
Build and ship ML and optimization models for a quick-commerce marketplace, handling supply-demand matching, dynamic pricing, recommendations, ETA prediction, and conversational AI for order fulfillment.
Role type
Mid-level machine learning engineer (marketplace optimization)
Builds
Production ML models for supply-demand matching, dynamic pricing, recommendations, ETA prediction, and conversational ordering (Butler)
Domain
Quick-commerce / On-demand delivery / Marketplace optimization
Deliverable
production ML models
Required skills
A/B test design, causal inference, forecasting, operations research, reinforcement learning, feature engineering, Python, SQL
Preferred skills
NLP / LLM experience, streaming/big-data tooling (Spark, Kafka), quick-commerce domain knowledge
Technologies
Python, SQL, Spark, Kafka
Responsibilities
Build and maintain ML/optimization models for marketplace stack; Design and run experiments (A/B, quasi-experimental); Engineer high-signal features from messy real-world data; Own model lifecycle (pipelines, training, deployment, monitoring); Collaborate with product, engineering, and operations teams
Seniority
Mid-level, hands-on IC