Senior Data Scientist (4+ Years/ Quick Commerce)

We are looking for a Sr. Data Scientist - Quick Commerce who has hands-on experience with data wrangling, statistical analysis, optimisation models and building ML models.

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 quick commerce environment.

● 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.

Good to have:

● 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.

● 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.