Role: Full Stack Data Scientist
Industry Type: FMCG
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
UG: Any Graduate
PG: Any Postgraduate
Job Location MUMBAI GENERAL OFFICE Job Description Overview As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. R esearch, design, and customize algorithms tailored to various problems and data types. Utilizing your expertise in Operations Research (including optimization and simulation) and machine learning models (such as tree models, deep learning, and reinforcement learning), contribute to the development of scalable Data Science algorithms. Integrate advanced techniques from Generative and Agentic AI to create more dynamic and responsive models, enhancing our analytical capabilities. Collaborate with Data and AI Engineering teams to productionize these solutions, applying exploratory data analysis, feature engineering, and model building within cloud environments on massive datasets to deliver accurate and impactful insights. Mentor others as a technical coach and become a recognized expert in one or more Data Science techniques, quantifying the improvements in business outcomes resulting from your work. Your team You and other Data Scientists will report to Data Science Director. You would be partnering with domain experts in different business units, understanding the problem, designing solution trajectories, solving the problem, innovating new capabilities, and collaborating with Data and AI Engineering teams to translate your efforts into robust, scaled, and reliable solutions.
Responsibilities
of the role We need someone who can: Algorithm Design & Development: Directly contribute to the design and development of scalable Data Science algorithms. Collaboration: Work closely with Data and AI Engineering teams to effectively productionize algorithms. Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building. Coaching & Mentorship: Develop others as a technical coach, sharing your expertise and insights. Expertise Development: Become a known expert in one or multiple Data Science techniques and methodologies Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.