Data Scientist
Location
Seniority
Tech stacks
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 & Responsibiliti
es
Job Title: Senior Data Scient
ist
What You'l
- l do
Work closely with engineers and data teams to design, build, and deploy scalable machine learning models that power Careem’s plat - form.Analyze large-scale datasets to uncover insights, optimize logistics algorithms, and improve user experiences across ride-hailing, food delivery, and paym
- ents.Develop, test, and maintain robust ML systems using Python and modern ML frameworks, ensuring high performance and reliabi
- lity.Collaborate with cross-functional teams — product, engineering, operations — to align AI-driven solutions with business g
- oals.Train, validate, and deploy models in cloud environments ensuring scalability and effici
- ency.Conduct peer reviews, uphold coding best practices, and contribute to building a strong data science culture at Ca
- reem.Continuously research and experiment with emerging AI/ML techniques to drive innovation in Careem’s super app ecosy
- stem.Monitor deployed models, troubleshoot issues, and enhance performance within defined
- SLAs.Participate in team agile practices and contribute to the continuous evolution of Careem’s data-driven decision-ma
king.
Ideal candidate p
- rofile
5+ years of professional experience in data science, applied machine learning, or related - fields.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 depl
- oyment.Experience handling large datasets using SQL and big data platforms (Spark, Hadoop, or si
- milar).Understanding of cloud platforms (AWS, GCP, or Azure) for model training and depl
- oyment.Familiarity with containerization technologies (Docker, Kubernetes) for scalable depl
- oyment.Strong problem-solving skills and ability to translate business challenges into data-driven sol
- utions.Experience applying professional software engineering practices, including version control, testing, and CI/CD pip
- elines.Excellent communication and collaboration skills to work effectively in cross-functional
teams.
About Flexiple
Flexiple Service
How does Flexiple work?
Company culture
Build for happiness, not external benchmarks
Unlike the popular narrative of successful tech startups, we bootstrapped our way. This has meant that we have had to deliver value to our customers from Day 1. Our growth has been a consequence of their love for us. Not just that, it also means that we don't have any external benchmarks of success to constantly adhere to. We build for happiness. This doesn't mean that we aren't ambitious, just that our ambitions don't have to be achieved at the cost of our happiness.
Learn by doing
Delegation is great but can be dangerous when one has no clue what they are delegating. So, each of us enjoys the process of learning new things we initially have ZERO knowledge in! This is done by doing and not just by reading. We accept that we will start by being quite shitty at it. The goal is just to be less shitty each day, till suddenly one day we realize that we are actually quite good at it :)
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