Senior Scientist, Data

Step into the world of Mrsool—where convenience meets innovation! As one of the largest delivery platforms in the Middle East and North Africa (MENA) region, 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 apart is its commitment to providing an unmatched "order anything from anywhere" experience. Using Generative AI, we analyze customer instructions in real-time and search across 100,000+ restaurants and stores to find exactly what they need. Our cutting-edge technology, combined with a vast fleet of dedicated on-demand couriers, ensures fast and reliable delivery—no matter how far or remote the location may be.

But don’t just take our word for it—Mrsool is consistently rated among the highest of all major delivery platforms, earning top reviews on both the Apple App Store and Google Play Store. Our commitment to a flawless, personalized experience has earned the trust of millions across the region, making Mrsool the go-to delivery app for a generation that demands both convenience and excellence.

Whether it's a late-night craving, a forgotten item, or a special gift for a loved one, 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 looking for a Data Scientist (Product - Operations Research & ML) to develop advanced optimization models and machine learning solutions that enhance product decision-making and user experiences. The ideal candidate will have a strong foundation in mathematics, optimization, and machine learning, along with hands-on experience in solving complex real-world problems.

This role is highly cross-functional, requiring close collaboration with product managers, engineers, and data teams to build intelligent, data-driven frameworks that optimize product performance and drive business impact at scale.

If you're eager to take on this rewarding opportunity, we’d love to hear from you. Apply today!

What You Will Do💡

• Operations Research & Optimization
• Design and implement last-mile and middle-mile delivery optimization models to reduce costs and improve efficiency.
• Develop algorithms for purchasing cycle optimization, balancing supplier constraints, warehouse capacity, and financial constraints.
• Optimize warehouse operations, space utilization, and picking strategies.
• Machine Learning & Predictive Modeling.
• Build and deploy demand forecasting models to predict sales trends, optimize inventory, and improve fulfillment rates.
• Implement clustering and segmentation models to enhance supply chain decision-making and customer insights.
• Develop predictive models to improve logistics efficiency and operational planning.
• Scalability & Deployment
• Work closely with engineering teams to integrate ML and optimization models into production systems.
• Research & Continuous Improvement
• Stay up to date with the latest optimization and machine learning techniques to enhance model performance.
• Experiment with cutting-edge approaches in operations research, deep learning, and AI-driven optimization.
• Monitor deployed models and refine them based on real-world performance and business feedback.
• Collaboration & Business Impact.
• problems into data-driven solutions.
• Present findings and recommendations to both technical and non-technical audience.

• Master’s degree in Mathematics, Operations Research, Industrial Engineering, Computer
• Science, or a related field.
• Experience:
• Hands-on experience in logistics, supply chain optimization, and machine learning
• applications.
• Prior experience in e-commerce, fintech, or a fast-paced data-driven environment is a plus.
• Technical Skills:
• Operations Research: Expertise in optimization techniques (linear programming, integer
• programming, heuristics).
• Machine Learning: Proficiency in supervised, unsupervised learning, and time series
• forecasting.
• Programming: Strong skills in Python (preferred) or R, with experience using Scikit-learn,
• TensorFlow, PyTorch, PuLP , Gurobi, or Pyomo.
• Data Handling: Experience working with SQL, Pandas, NumPy, and data visualization tools
• like Matplotlib, Seaborn, or Tableau.
• Deployment: Familiarity with MLOps, cloud platforms (AWS, GCP , or Azure), and API
• integrations is a plus.

Who Will Excel❓

• Experience in the delivery or logistics industry.
• Familiarity with optimization techniques for routing and scheduling.
• Knowledge of experimentation frameworks (e.g., A/B testing) and causal

• Inclusive and Diverse Environment: We foster an inclusive and diverse workplace that values innovation and provides flexibility. Whether you prefer remote, in-office, or hybrid work arrangements, we accommodate your needs.
• Competitive Compensation: Our compensation packages are competitive and include potential share options for certain roles. 
• Personal Growth and Development: We are committed to your professional development, offering regular training and an annual learning stipend to help you advance your career in a fast-paced, dynamic environment.
• Autonomy and Mentorship: You’ll enjoy a degree of autonomy in your role, supported by mentorship and ambitious goals that drive both your personal success and the company's growth.