Senior Data Scientists

About BrandIdea AnalyticsAt BrandIdea Analytics, we are redefining the way businesses understand markets by delivering granular insights from the building level upwards. Our analytics platform and frameworks empower some of India’sleading brands to make sharper, faster, and more effective decisions.We are looking for Senior Data Scientists who are passionate about solving complex business problems with data, scaling models to capture minute levels of granularity, and mentoring a next generation of analytics talent team.Role OverviewAs a Senior Data Scientist at BrandIdea, you will be part of the team that will drive the design and deployment of advanced analytics and AI / ML models that bring precision to decision-making for leading brands like Coke, Cadbury’s, Godrej Consumer Prdts, TAFE, Pepsi and many more. You will collaborate closely with strategy, technology, and content teams, and will play a pivotal role in translating granular data into business impact.Key ResponsibilitiesAnalytics & Modeling- Develop and scale predictive, prescriptive, and AI & ML models that handle granular datasets spanning the whole country. .- Build robust forecasting, segmentation, and optimization models to solve sales, distribution, pricing, and consumer behavior challenges.Data Strategy & Execution- Leverage structured and unstructured datasets to create granular insights for clients in FMCG, Building Materials, BFSI, FMEG, and other industries.- Work with large-scale distributed data systems and optimize model performance on real-world, high-volume, granular data.Client Engagement & Business Impact- Collaborate with client teams to identify problems, shape analytics solutions, and deliver insights that drive measurable business outcomes.- Contribute thought leadership on how granular analytics can transform go-to-market strategies and brand growth.Leadership & Mentoring- Mentor junior data scientists and analysts on advanced methodologies and coding best practices.- Contribute to BrandIdea’s knowledge frameworks and IP creation in analytics.- Excellent communication, presentation, and storytelling skills.QualificationsEducation : - Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Data Science.Experience : - 6–10 years of professional experience in data science / advanced analytics.- Proven track record of deploying models that delivered business impact at scale.- Experience in consumer industries (FMCG, Building Materials, Consumer Durables, Retail, FMEG or similar sectors) is a plus.Technical Skills : - Strong coding expertise in Python (Pandas, NumPy, Scikit-learn, TensorFlow / PyTorch), SQL, and R.- Deep understanding of predictive modeling, machine learning, NLP, time-series forecasting, and optimization methods.- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and production deployment.What We Offer- The opportunity to be the core of the Company - work on pioneering granular analytics frameworks that set global benchmarks.- Exposure to diverse industries and categories.- Competitive compensation and clear growth pathways.