Data Scientist II (DS-2) - Marketplace & AI Modeling

What You Will Do

• **Marketplace Modelling**: Build and maintain **ML and optimisation models** across the quick-commerce stack — supply-demand matching, dynamic and surge pricing, recommendations, **ETA prediction**, and broader marketplace optimisation.
• **Butler & Conversational AI**: Contribute to the AI behind Butler, Mrsool's distinctive conversational ordering experience — modelling customer intent from free-form, unstructured requests (**text, voice, images**) and mapping it to fulfillable, well-priced orders.
• **Experimentation & Causal Inference**: Design and run experiments (**A/B and quasi-experimental**) across pricing, matching, recommendations, and Butler, and turn noisy marketplace data into decisions stakeholders can act on.
• **Feature Engineering & Data Craft**: Engineer high-signal features from messy, real-world data — order events, courier traces, geospatial signals, pricing configs, and conversational text/voice — as a core, ongoing part of the role.
• **Production ML**: Own your models through their lifecycle — data pipelines, training, deployment, monitoring, and retraining — and respond when a model or config drifts.
• **Cross-Functional Collaboration**: Collaborate effectively with product managers, engineers, DevOps, operations, and other squads to deliver seamless, data-driven experiences and diagnose live issues (e.g., mispriced brackets, elevated failure rates in a city).
• **Operational Excellence**: Proactively monitor model and metric health, instrument your work with proper logging and observability, and contribute to reliable, repeatable analysis and deployment practices.
• **Continuous Improvement**: Identify opportunities to improve measurement, modelling, and process; favour small, incremental changes that compound over time.