Data Scientist II

🕒 September 17

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

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MRSOOL | مرسول

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

🍽️ Food & Beverage

✈️ Travel

💼 Consulting

Food & Beverage • Travel • Consulting

MRSOOL is one of the largest delivery platforms in the region, offering an on-demand experience with high user ratings in both Apple's App Store and Google's Play store. MRSOOL provides a "order anything from anywhere" service backed by a large fleet of registered couriers. It enables businesses to access a vast user base, facilitating transformation to on-demand eCommerce and offering a flexible bidding system for service prices. MRSOOL also offers a personalized delivery experience with real-time tracking and communication with couriers, making it a leading option for ordering from local shops, groceries, and restaurants directly to your door.

📋 Description

• Build and maintain ML and optimisation models across the quick-commerce stack, including supply-demand matching, dynamic and surge pricing, recommendations, ETA prediction, and marketplace optimisation • Contribute to Butler's conversational ordering AI by modelling customer intent from text, voice, and images and mapping requests to fulfillable, well-priced orders • Design and run A/B and quasi-experiments across pricing, matching, recommendations, and Butler • Turn noisy marketplace data into actionable stakeholder decisions • Engineer features from order events, courier traces, geospatial signals, pricing configurations, and conversational text/voice • Own models through data pipelines, training, deployment, monitoring, and retraining • Respond to model or configuration drift • Collaborate with product managers, engineers, DevOps, operations, and other squads • Help diagnose live issues such as mispriced brackets and elevated failure rates • Monitor model and metric health and contribute to logging, observability, analysis, and deployment practices • Identify improvements to measurement, modelling, and processes through incremental changes

🎯 Requirements

• 3 to 4 years of non-internship professional data science or ML experience in fast-paced product startups or high-scale tech enterprises • Solid command of A/B test design, power analysis, and quasi-experimental methods, including diff-in-diff, instrumental variables, synthetic control, and awareness of interference in marketplace/network settings • Strong grounding in forecasting and at least one of operations research or reinforcement learning applied to allocation, matching, or pricing problems • Proven ability to build, select, and maintain features from large, messy, real-world data • Comfortable deploying, monitoring, and maintaining ML pipelines • Fluent in Python and SQL • Ability to work efficiently against large-scale data • First-principles problem-solving and track record of delivering high-quality work while balancing reliability, latency, and interpretability • Bias toward shipping early and iterating • Bachelor's/Master's degree in Computer Science, Statistics, Engineering, or an equivalent quantitative field • Hands-on experience in quick commerce, marketplaces, logistics, ride-hailing, or on-demand delivery • Experience with NLP/LLM, including intent classification, entity extraction, embeddings, or conversational/voice data • Comfortable with streaming/big-data tooling such as Spark and Kafka and real-time inference

🏖️ Benefits

• Inclusive and diverse workplace • Remote work environment • Competitive compensation • Potential share options for certain roles • Regular training • Annual learning stipend • High degree of autonomy • Mentorship

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