About Zepto
Zepto is a leading Indian consumer technology company and a pioneer in the fast-growing quick-commerce sector. Founded in 2021, Zepto delivers groceries and everyday essentials to millions of customers within minutes through a technology-driven logistics and supply chain network. The company operates at the intersection of product innovation, data science, and customer experience, building scalable consumer platforms in one of the world’s most dynamic digital markets.
Zepto is backed by prominent global and institutional investors, including General Catalyst, Lightspeed Venture Partners, Nexus Venture Partners, StepStone Group, Avra Ventures, and the California Public Employees’ Retirement System (CalPERS). In its most recent pre-IPO funding round, Zepto raised approximately USD 450 million at a valuation of nearly USD 7 billion, underscoring strong investor confidence in the company’s long-term growth and market leadership.
Responsibilities, aka, what we’d like you to deliver :
Are you who we're searching for
We are looking for a highly motivated Data Scientist I to join our team, focusing on Supply Chain Optimization . This role involves applying mathematical rigor and advanced algorithmic techniques to solve complex, large-scale business problems across logistics, supply chain, and operations. You will be responsible for defining, developing, and deploying high-impact optimization models (e.g., Linear Programming, Mixed-Integer Programming) and leveraging heuristics and graph algorithms to find optimal or near-optimal solutions under strict latency and scale constraints. You will collaborate closely with Data Engineers, MLOps Engineers, Product, and Operations teams to integrate OR solutions into our production systems, ensuring both mathematical correctness and operational efficiency. The ideal candidate is passionate about solving real-world problems using mathematical modeling, has a strong foundation in algorithm complexity and data structures, and is excited to work on high-impact systems where solution quality directly drives business growth and customer experience.
Technical Skills (Must Have)
Core Competencies
Preferred Experience
Experience in modeling and solving large-scale optimization problems in areas like routing, scheduling, or network design.
Exposure to designing and implementing algorithms, heuristics, and metaheuristics for large-scale, near-real-time problem solving.
Exposure to or practical experience with Discrete Event System Simulation (DESS) for modeling and analyzing complex operational processes and system trade-offs.
Experience with deploying optimization models into low-latency production systems.
Practical experience with building simulation frameworks to evaluate operational trade-offs and impact.
Familiarity with big data processing tools like PySpark and cloud data platforms.
Knowledge of handling high-throughput, low-latency systems.
0–2 years of experience in Data Science, Machine Learning, or related roles
Freshers with strong internships / academic projects in ML, data analysis, or large-scale data processing are encouraged to apply
Hands-on exposure to building and evaluating ML models
Experience working with real-world datasets, feature engineering, and model evaluation is a plus
Qualification
Sounds like we’re talking about you? Please add your application to our cart!
Equal Opportunity Statement: Zepto is an equal opportunity employer and is committed to building an inclusive workplace. All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, national origin, or disability status.
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