Senior Data Scientist
2 days ago
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 :
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.
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