Senior Data Scientist

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.

(ref : hirist.tech)