Senior Data Scientist-Quick Commerce
3 days ago
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, optimization models, and building ML models. As a Data Scientist, you'll work closely with tech leads and backend engineers to develop a next-gen AI-powered solution to help optimize supply chains, reduce wastage, and improve efficiency, sustainability, and profitability. Your models will directly impact millions of deliveries by optimizing product availability while reducing wastage.
If you enjoy working in a fast-paced, dynamic environment and love tackling new challenges, we might be the right fit for you.
Responsibilities
- Leverage SQL and Python (Pandas, 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; build and optimize models for demand forecasting and operational efficiency in quick commerce environments.
- 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 with pandas, Spark, or similar technologies.
- Expertise in advanced SQL and spreadsheets.
- Hands-on experience building and evaluating ML models with strong theoretical foundations in 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,panda,forecasting,algorithms,demand forecasting,sql,spark,analytics,python
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