Data Scientist II
Core
Build and ship ML and optimization models powering a quick-commerce marketplace, including supply-demand matching, dynamic pricing, recommendations, and conversational AI for order fulfillment.
Role type
Mid-level hands-on machine learning engineer (marketplace optimization)
Builds
Production ML models for supply-demand matching, dynamic pricing, 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 (diff-in-diff, instrumental variables), forecasting, operations research, reinforcement learning, feature engineering, Python, SQL
Preferred skills
NLP / LLM experience (intent classification, entity extraction), streaming/big-data tooling (Spark, Kafka), quick-commerce domain knowledge
Technologies
Python, SQL, Spark, Kafka
Responsibilities
Design and run experiments across pricing and matching; engineer high-signal features from messy real-world data; own model lifecycle from training to monitoring; collaborate with product and engineering teams to diagnose live issues
Seniority
Mid-level, hands-on IC
