Role: Senior Data Scientist/Data Scientist
- Location: Mumbai (Hybrid)
- Expereince: 4 - 6 Years
- Budget: 25 -38 LPA
- Notice Period: 30 days or less preferred
- Domain Preference: Candidates from commerce / quick commerce (e.g., Blinkit, Zepto, Swiggy, Flipkart, Myntra, etc.)
About The Company
We are a leading on-demand delivery platform, operating across multiple countries and connecting millions of users to restaurants, supermarkets, pharmacies, retail stores, and more. With a mission to make everyday life easier, our
ultra-fast commerce vertical
is redefining convenience by delivering customer orders in
10 minutes or less
through strategically located dark stores and micro-fulfillment centers.Our ecosystem combines
cutting-edge technology, advanced data science, AI-driven forecasting, and last-mile logistics optimization
to ensure products are always available at the right time, in the right place.Joining us means being part of a
high-growth, fast-paced environment
, where innovation, problem-solving, and impact are at the core of everything we do.
About the Role:-
We are looking for a
Data Scientist/Sr. Data Scientist - Quick Commerce
who has hands-on experience with data wrangling, statistical analysis, optimisation models and building ML models. As a Data Scientist, you’ll work closely with the tech leads, and backend engineers to develop a next-gen AI-powered solution to help it optimize their supply chains, reduce wastage, and become more efficient, sustainable, and profitable. Your models will directly impact millions of deliveries, optimising product availability while reducing wastage.If you enjoy working in a fast-paced dynamic environment, love working on new challenges, then we might be the right fit for you.
Responsibilities:-
- Leverage SQL, Python (Panda, Spark) to transform large scale data into operational insights
- Conduct exploratory data analysis (EDA), build statistical models, and generate actionable insights to influence strategic decisions.
- Design and implement end-to-end data and ML solutions. Design, build, and optimize machine learning models for demand forecasting and operational efficiency in it's quick commerce environment.
- Collaborate with stakeholders to understand business requirements and translate them into analytical solutions
- Work cross-functionally with Product, Operations, and Engineering teams to design and test data-driven solutions that enhance speed, reliability, and customer satisfaction.
- Leverage agentic AI to build intelligent, autonomous decision-making systems for operational and customer experience improvements.
- Innovate, develop and implement workflow automation using LLM-based automation to streamline data pipelines and decision processes.
- Partner with data engineering teams to design scalable data models and robust data pipelines that ensure high-quality, real-time data availability.
Minimum Qualifications:-
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
- 4+ years experience in pandas/spark or other similar technologies
- Expertise in advanced SQL as well as spreadsheets
- Hands-on experience in building and evaluating ML models along with strong theoretical foundations of ML algorithms (e.g. regression, classification, feature selection)
- Working knowledge of statistical analysis and machine learning
- Experience with dashboards, data visualizations, or big-data analytics products
- Excellent problem-solving and analytical skills, with a passion for optimizing algorithms and models for high performance.
- Strong communication and collaboration skills, with the ability to work effectively within a diverse, cross-functional team.
Preferred Qualifications:-
- Experience designing models for high-frequency, short-horizon demand forecasting in dynamic environments (quick commerce, food delivery, or e-grocery)
- Strong background in supply chain analytics, including inventory optimization, demand forecasting, and logistics planning.
- Hands-on experience in inventory optimization, replenishment planning, or automated PO/TO systems.
Skills: data scientist,sql,python,ml,pandas,python (panda, spark)
