Job Description

Title : Senior Data Scientist

Experience : 4 to 6 years

Location : Mumbai

Work mode Hybrid

Must haves :

- SQL

- Python

- ML

- Pandas

Role And 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 Turbo'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.