Lead Data Scientist - Demand Forecasting

Job Title : Lead Data Scientist Demand Forecasting. Location : [Bengaluru Hybrid]. Employment Type : Full-Time. Department : Data Science / Supply Chain Analytics. Our Client is AI Product company (Startup). Notice Period : Immediate Joiner / 30 days. As a Lead Data Scientist, you will work on high-impact forecasting problems, develop scalable models, and collaborate closely with product, engineering, and customer-facing teams. Your work will directly influence key business decisions across inventory, pricing, and logistics. Key Responsibilities : - Understand business objectives and conduct deep exploratory data analysis to identify the best forecasting strategies. - Develop and train machine learning and deep learning models on large-scale time series datasets. - Perform descriptive analytics and data visualization to provide actionable insights to stakeholders. - Design, implement, and optimize end-to-end data science pipelines for demand forecasting, inventory management, and price optimization. - Collaborate with cross-functional teams to deploy models and monitor performance in production. - Analyze model accuracy across different segments to ensure fairness and robustness. - Present insights and recommendations to internal and external stakeholders. - Contribute to research and innovation efforts in forecasting and optimization You Bring : - 7 years of experience in a data science or machine learning role, preferably with exposure to demand forecasting or supply chain optimization. - Bachelor's or Masters degree in Statistics, Mathematics, Computer Science, Physics, Economics, or a related field. - Strong expertise in time series modeling, regression, and deep learning. - Hands-on experience with Python (NumPy, pandas, Scikit-learn, PyTorch/TensorFlow), SQL, and data visualization tools. - Proven ability to build and scale end-to-end machine learning pipelines. - Experience with A/B testing, hypothesis-driven development, and statistical analysis. - Ability to clearly communicate technical insights to non-technical stakeholders. - Strong problem-solving and analytical thinking Bonus : - Industry experience in CPG, FMCG, or retail (because real-world demand is volatile and driven by many external factors like promotions, holidays, supply issues). - Experience dealing with noisy, large-scale datasets and seasonality. - Hands-on with ML Ops tools or cloud platforms (AWS/GCP/Azure). (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 4/27/2025