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 ML and optimisation models for quick-commerce marketplace functions including supply-demand matching, dynamic pricing, recommendations, and ETA prediction.
- Design and execute rigorous A/B and quasi-experiments to inform data-driven decision making across pricing, matching, recommendations, and conversational AI features.
- Own end-to-end lifecycle of ML models including feature engineering, monitoring, retraining, and cross-team collaboration to ensure operational stability and continuous improvement.
Minimum Requirements
- 3 to 4 years of professional data science or ML experience, preferably in fast-paced startups or high-scale tech enterprises.
- Strong expertise in experimentation design including A/B tests, power analysis, and causal inference methods relevant to marketplaces/networked settings.
- Proficiency in Python and SQL for working with large-scale data and deploying 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 understanding of two-sided supply-demand dynamics.
- Hands-on NLP or LLM experience relevant to conversational AI, including intent classification, entity extraction, or voice data processing.
- Comfortable working with big-data streaming tools like Spark and Kafka and implementing real-time ML model inference in production.