Data Scientist II

Who Are We❓

Welcome to the world of Mrsool (https://himalayas.app/companies/mrsool)! 🌍✨ Where on-demand delivery meets unparalleled user needs to deliver anything you desire. As one of the largest delivery platforms in the Middle East and North Africa (MENA) region, Mrsool (https://himalayas.app/companies/mrsool) has captivated users with its unique and seamless experience, earning it the highest ratings among all major delivery platforms on both Apple's App Store and Google's Play Store. 🌟📲

What sets Mrsool (https://himalayas.app/companies/mrsool) apart is its commitment to providing an unmatched "order anything from anywhere" experience. 🌐📦 This extraordinary feat is made possible by our extensive fleet of dedicated on-demand couriers. With their unwavering dedication, they ensure that your desired items reach your doorstep, no matter where you are. 🚗🚲

Whether it's a late-night craving, a forgotten item, or a special gift for a loved one, Mrsool (https://himalayas.app/companies/mrsool) is here to deliver, quite literally. 😋🎁 We take pride in the convenience we offer, empowering you to get what you need when you need it, all at the tap of a button. 💪🏼💫

The Job in a Nutshell💡

We are seeking a Data Scientist II (DS-2) to join our core data science team. In this role, you will build and ship models that power Mrsool (https://himalayas.app/companies/mrsool)'s quick-commerce marketplace, owning well-scoped problems end-to-end — from analysis and experimentation through to production. You will work closely with cross-functional teams and senior data scientists to deliver robust, data-driven solutions. This position offers an opportunity to grow your craft on high-impact problems and contribute directly to the growth and success of the organization.

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 (https://himalayas.app/companies/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 to help 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.

Requirements

What Are We Looking For❓

• Years of Experience: 3 to 4 years of non-internship professional data science or ML experience in fast-paced product startups or high-scale tech enterprises.

• Experimentation & Causal Inference: Solid command of A/B test design, power analysis, and quasi-experimental methods (diff-in-diff, instrumental variables, synthetic control), including awareness of interference in marketplace/network settings.

• ML & Optimisation Depth: Strong grounding in forecasting and at least one of operations research / reinforcement learning applied to allocation, matching, or pricing problems.

• Feature Engineering: Proven ability to build, select, and maintain features from large, messy, real-world data.

• Production Engineering: Comfortable deploying, monitoring, and maintaining ML pipelines, with the engineering discipline to keep models reliable in production.

• Technical Toolkit: Fluent in Python and SQL, with the ability to work efficiently against large-scale data.

• Problem-Solving Mindset: A knack for thinking from first principles and a track record of delivering high-quality work while balancing trade-offs like reliability, latency, and interpretability.

• Iterative Mindset: A bias towards shipping early and iterating; a belief in small, incremental changes over large, multi-quarter undertakings.

• Education: Bachelor's/Master's degree in Computer Science, Statistics, Engineering, or an equivalent quantitative field.

Who Will Excel❓

• Data scientists with hands-on experience in quick commerce, marketplaces, logistics, ride-hailing, or on-demand delivery, who understand two-sided supply/demand dynamics.

• Those with NLP / LLM experience — intent classification, entity extraction, embeddings, or conversational/voice data — directly relevant to Butler.

• Engineers comfortable with streaming/big-data tooling (Spark, Kafka) and real-time inference.

• High-agency individuals who treat their models as products and collaborate well across conflicting perspectives.

Benefits

What We Offer You❗

• Inclusive and Diverse Environment: We foster an inclusive and diverse workplace that values innovation and offers remote environments.

• Competitive Compensation: Our compensation packages are highly competitive and include potential share options for certain roles.

• Personal Growth and Development: We are committed to your personal and professional growth, providing regular training and an annual learning stipend to help you advance your career in a dynamic environment.

• Autonomy and Mentorship: You'll enjoy a high degree of autonomy in your role, supported by mentorship and ambitious goals that pave the way for both your success and the company's growth.

Originally posted on Himalayas (https://himalayas.app)