Data Scientist II
MRSOOL (company site, opens in a new tab)3–4 yrsRemoteDirect career pageEst. 12–22 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build, deploy, and maintain machine learning and optimization models for quick-commerce marketplace features including supply-demand matching, surge pricing, recommendations, and ETA prediction.
- Design and execute experiments (A/B and quasi-experimental) to inform data-driven decisions in pricing, matching, and conversational AI.
- Own the full lifecycle of ML models including feature engineering, production deployment, monitoring, and iterative improvements.
Minimum Requirements
- 3 to 4 years of professional data science or machine learning experience in fast-paced product startups or large tech enterprises.
- Strong expertise in A/B test design and causal inference methods including diff-in-diff and instrumental variables.
- Proficiency in production ML engineering: deploying, monitoring, and maintaining ML pipelines.
- Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or equivalent quantitative field.
Ideal Candidate Profile
- Experience in quick commerce, marketplaces, logistics, ride-hailing, or on-demand delivery with knowledge of two-sided supply/demand dynamics.
- Hands-on expertise in NLP or large language model techniques relevant to conversational AI, including intent classification and entity extraction.
- Comfortable with big-data streaming technologies (e.g., Spark, Kafka) and real-time ML inference, and able to treat models as products across stakeholder groups.