Company Details

Careem Grocery is redefining how people shop for groceries, pharmacy, and retail products in the Middle East. As an innovative vertical within Careem, the region's leading super app, Careem Grocery aims to simplify lives by offering a seamless, fast, and reliable shopping experience. With a focus on quality, trust, and convenience, Careem Grocery is committed to delivering essentials swiftly, ensuring customers have more time for what truly matters

.Job Roles & Responsibilitie

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Job Title: Senior Data Scienti

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What You'll

• doWork closely with engineers and data teams to design, build, and deploy scalable machine learning models that power Careem’s platfo
• rm.Analyze large-scale datasets to uncover insights, optimize logistics algorithms, and improve user experiences across ride-hailing, food delivery, and paymen
• ts.Develop, test, and maintain robust ML systems using Python and modern ML frameworks, ensuring high performance and reliabili
• ty.Collaborate with cross-functional teams — product, engineering, operations — to align AI-driven solutions with business goa
• ls.Train, validate, and deploy models in cloud environments ensuring scalability and efficien
• cy.Conduct peer reviews, uphold coding best practices, and contribute to building a strong data science culture at Care
• em.Continuously research and experiment with emerging AI/ML techniques to drive innovation in Careem’s super app ecosyst
• em.Monitor deployed models, troubleshoot issues, and enhance performance within defined SL
• As.Participate in team agile practices and contribute to the continuous evolution of Careem’s data-driven decision-maki

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Ideal candidate pro

• file
  5+ years of professional experience in data science, applied machine learning, or related fi
• elds.Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, or a related technical f
• ield.Strong proficiency in Python and hands-on experience with ML libraries (TensorFlow, PyTorch, Scikit-learn, e
• tc.).Solid knowledge of machine learning fundamentals: supervised/unsupervised learning, feature engineering, model evaluation, and deploy
• ment.Experience handling large datasets using SQL and big data platforms (Spark, Hadoop, or simi
• lar).Understanding of cloud platforms (AWS, GCP, or Azure) for model training and deploy
• ment.Familiarity with containerization technologies (Docker, Kubernetes) for scalable deploy
• ment.Strong problem-solving skills and ability to translate business challenges into data-driven solut
• ions.Experience applying professional software engineering practices, including version control, testing, and CI/CD pipel
• ines.Excellent communication and collaboration skills to work effectively in cross-functional t