Careem - Senior Data Scientist II

• Academic Background & Experience: 8+ years of experience in Data Science, ideally in E-commerce, Q-commerce, or Supply Chain. A background in Operations Research or Statistics. Hands-on proficiency in Python, Spark and ML frameworks. Experience with real-time inference systems and model monitoring in production. Strong understanding of experimentation, A/B testing, and causal inference. Demonstrated ability to drive architectural decisions across teams. • Technical Skills: Professional-grade Python and SQL. Experience with optimization libraries (like Gurobi, CPLEX, or PuLP) and ML frameworks (XGBoost, LightGBM, or PyTorch). • Problem Solving: Experience with Stochastic Optimization or Reinforcement Learning for inventory management is highly preferred. • Business Intuition: You understand that a 1% reduction in wastage across 100+ stores translates to millions in saved EBITDA. • Communication Skills: Excellent communication skills and ability to translate complex modelling trade-offs into business impact. • What We’ll Provide You • We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to: • Work and learn from great minds by joining a community of inspiring colleagues. • Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential. • Explore new opportunities to learn and grow every day. • Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.) • Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.