Senior Data Scientists

BrandIdea Analytics is redefining the way businesses understand markets by delivering granular insights from the building level upwards. Our analytics platform and frameworks empower some of India's leading 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. As a Senior Data Scientist at BrandIdea, you will be part of the team that drives the design and deployment of advanced analytics and AI/ML models, bringing precision to decision-making for leading brands like Coke, Cadburys, Godrej Consumer Prdts, TAFE, Pepsi, and more. You will collaborate closely with strategy, technology, and content teams, playing a pivotal role in translating granular data into business impact. Key Responsibilities: - Develop and scale predictive, prescriptive, and AI & ML models handling granular datasets spanning the whole country. - Build robust forecasting, segmentation, and optimization models to solve sales, distribution, pricing, and consumer behavior challenges. - 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. - Collaborate with client teams to identify problems, shape analytics solutions, and deliver insights driving measurable business outcomes. - Contribute thought leadership on how granular analytics can transform go-to-market strategies and brand growth. - Mentor junior data scientists and analysts on advanced methodologies and coding best practices. - Contribute to BrandIdea's knowledge frameworks and IP creation in analytics. - Possess excellent communication, presentation, and storytelling skills. Qualifications: - Education: Masters 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 impactful models at scale. Experience in consumer industries 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. You will have the opportunity to work on pioneering granular analytics frameworks, exposure to diverse industries and categories, competitive compensation, and clear growth pathways.,