Senior Data Scientist, Machine Learning

7 days ago

Chennai, India BrandIdea Granular Analytics Platform Full time

About BrandIdea Analytics At BrandIdea Analytics , we are redefining the way businesses understand markets by delivering granular insights from the building level upwards. 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 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. Develop and scale predictive, prescriptive, and AI & ML models that handle granular datasets spanning the whole country. . 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. 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. D. in Computer Science, Statistics, Mathematics, Data Science. Experience: ~6–10 years of professional experience in data science/advanced analytics. ~ Experience in consumer industries (FMCG, Building Materials, Consumer Durables, Retail, FMEG or similar sectors) is a plus. 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. Competitive compensation and clear growth pathways.

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