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

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Job Roles & Responsibiliti

es
Job Title: Senior Data Scient

ist
What You'l

• l doWork closely with engineers and data teams to design, build, and deploy scalable machine learning models that power Careem’s platf
• orm.Analyze large-scale datasets to uncover insights, optimize logistics algorithms, and improve user experiences across ride-hailing, food delivery, and payme
• nts.Develop, test, and maintain robust ML systems using Python and modern ML frameworks, ensuring high performance and reliabil
• ity.Collaborate with cross-functional teams — product, engineering, operations — to align AI-driven solutions with business go
• als.Train, validate, and deploy models in cloud environments ensuring scalability and efficie
• ncy.Conduct peer reviews, uphold coding best practices, and contribute to building a strong data science culture at Car
• eem.Continuously research and experiment with emerging AI/ML techniques to drive innovation in Careem’s super app ecosys
• tem.Monitor deployed models, troubleshoot issues, and enhance performance within defined S
• LAs.Participate in team agile practices and contribute to the continuous evolution of Careem’s data-driven decision-mak

ing.
Ideal candidate pr

• ofile
  5+ years of professional experience in data science, applied machine learning, or related f
• ields.Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, or a related technical
• field.Strong proficiency in Python and hands-on experience with ML libraries (TensorFlow, PyTorch, Scikit-learn,
• etc.).Solid knowledge of machine learning fundamentals: supervised/unsupervised learning, feature engineering, model evaluation, and deplo
• yment.Experience handling large datasets using SQL and big data platforms (Spark, Hadoop, or sim
• ilar).Understanding of cloud platforms (AWS, GCP, or Azure) for model training and deplo
• yment.Familiarity with containerization technologies (Docker, Kubernetes) for scalable deplo
• yment.Strong problem-solving skills and ability to translate business challenges into data-driven solu
• tions.Experience applying professional software engineering practices, including version control, testing, and CI/CD pipe
• lines.Excellent communication and collaboration skills to work effectively in cross-functional