About the Team Our Data Science team is the Avengers to Meesho’s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We’ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.🔍 You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait – there’s more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting “Summer of 69” at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ☺️ About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What you will do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that wi
Salary not disclosed
Check market pay for comparable Data Scientist roles before applying.
Role overview
Job description
Own a workstream end to end: decide which problems are worth solving, set and drive its roadmap, and be accountable for the movement of its metrics.
Formulate complex, loosely defined business problems in network design, routing, scheduling, allocation and capacity planning as LP, MILP, MINLP or constraint programming models, with explicit assumptions.
Solve them at scale with decomposition (Benders, Lagrangian relaxation, column generation, branch-and-price), heuristics and metaheuristics (large neighbourhood search, ALNS, tabu search) and constraint programming, within real planning-time budgets.
Handle uncertainty with stochastic, robust and chance-constrained optimisation, and test decisions through simulation before they reach the ground.
Combine OR with ML and DL, such as demand and volume forecasting, ETA prediction and learned heuristics, wherever it improves the decision.
Write production-grade code and work with engineering to ship solvers and models into systems that run every day, with testing, monitoring and reproducible pipelines. Use AI coding agents as part of how you build, and verify the formulations, code and results they produce.
Mentor DS1s and DS2s on formulation, modelling craft and code quality; align the roadmap with product, engineering, operations and business; and explain trade-offs to senior leaders in decision terms.
Publish your work at A* conferences and journals, as part of a team with a highly innovative work culture.
Bachelor's, Master's or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Computer Science or a related quantitative field.
5–8 years of experience (or 3+ years with a PhD) applying operations research to real-world problems, with optimisation models deployed in production.
Deep expertise in mathematical optimisation (LP, MILP, network flows, integer and combinatorial optimisation), with a proven ability to formulate ambiguous problems, design heuristics, and break complex problems into simpler sub-problems.
Experience with large-scale solution methods (decomposition, column generation, heuristics and metaheuristics, constraint programming) and with optimisation under uncertainty and simulation.
Hands-on experience with solvers and modelling tools such as Gurobi, CPLEX, OR-Tools (including CP-SAT), HiGHS, Pyomo or PuLP.
Strong programming: expert Python and SQL, PySpark or similar for large datasets, and solid software engineering (object-oriented design, Git, testing, code review). Fluency with AI coding agents, with the judgement to check their output.
Working knowledge of ML and DL (forecasting, regression, tree-based models, neural networks) and of how to combine them with optimisation.
Experience leading a workstream and mentoring junior data scientists, and the ability to explain trade-offs and limitations to senior business and operations leaders.
Good to Have:
Domain experience in logistics, e-commerce, transportation or supply chain: network design, line haul, vehicle routing (including time windows) or last-mile delivery.
Experience with deep learning based forecasting, learning-augmented optimisation (ML for combinatorial optimisation, reinforcement learning) or GPU-accelerated optimisation.
Performance-critical programming in C++, Java or Julia, and familiarity with cloud platforms such as Google Cloud.
Publications at OR/ML venues (e.g. INFORMS, Transportation Science, Operations Research, NeurIPS, ICML, KDD) or open-source contributions.
Role market pulse
How Data Scientist demand looks in India
Live jobs
36
Posted 30d
22
30d movement
+214.3%
Remote share
5.6%
Salary listed
5.6%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
What you will need Bachelor's, Master's or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Computer Science or a related quantitative field; 5–8 years of experience (or 3+ years with a PhD) applying operations research to real-world problems, with optimisation models deployed in production
Department · Tech
Hiring company
meesho
This website is for sale! meesho.in is your first and best source for information about meesho. Here you will also find topics relating to issues of general interest. We hope you find what you are looking for!
Related opportunities
Similar active roles
Relevant, currently active roles for this market.
🔔 Get job alerts
New Data Scientist III (Team- Valmo) jobs in Bengaluru, KARNATAKA, India, straight to your inbox.
No spam · Unsubscribe anytime