Data Scientist II
- Bangalore, Karnataka
- Permanent
- Full-time
- 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.
- 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).