Data Scientist II

3 weeks ago

Bengaluru, India Swiggy Full time
Job Title: Data Scientist II
Location: Bangalore, India Years of Experience: 3–5 years About The Role Swiggy is redefining the convenience economy through speed, scale, and service. We're looking for a highly motivated Data Scientist with experience in Operations Research, Optimization, and Machine Learning to join our fast paced, impact-driven team. As a Data Scientist 2, you will work on critical problems spanning supply chain optimization, assortment optimization, Ads, recommendation systems. You will collaborate with cross-functional teams to develop intelligent systems and deploy them at scale, helping Instamart reach new operational milestones. What will you get to do here? * Design, develop, and deploy scalable optimization algorithms for supply chain, assortment planning etc. * Translate business problems into mathematical formulations using tools like Linear Programming, Integer Programming, and Heuristics. * Build and improve predictive models using ML techniques (regression, classification, time-series forecasting). * Collaborate closely with Product, Engineering, and Operations teams to take models from prototype to production. * Analyze model performance and continuously iterate to improve accuracy and efficiency. * Drive measurable impact on key business metrics such as availability, wastage, revenue per order, cost per order etcWork on high-impact, real-world problems at massive scale. * Be a part of a fast-growing vertical within Swiggy with opportunities to innovate and experiment. * Collaborate with a world-class team of engineers, product managers, and data scientists. * Competitive compensation and a culture that promotes learning, ownership, and growth. What qualities are we looking for? * 3–5 years of experience in Data Science or Applied Research roles. * Strong foundation in Operations Research and Mathematical Optimization (e.g., LP, MILP, ILP). * Solid hands-on experience with Python, SQL, and at least one optimization solver (e.g., Gurobi, OR-Tools, CPLEX). * Good understanding of Machine Learning concepts and frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Experience in solving large-scale real-world problems using a combination of ML and OR techniques. * Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. * Excellent communication and stakeholder management skills. * Experience in supply chain, logistics, food delivery, or q-commerce/e-commerce domains. * Prior experience in building real-time or near real-time decision systems. * Experience working with large datasets and distributed systems (e.g., Spark). Visit our tech blogs to learn more about some the challenges we deal with:

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