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Tier-1 employer in Bangalore, visible senior ML role; niche demand-forecasting reduces broad applicant competition.
Deep demand-forecasting and supply-chain expertise limit cross-industry transferability.
Mandatory 6+ years in time-series forecasting, statistical background, and ML skills enforces strict shortlist filters.
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Develop and optimize advanced demand forecasting and sensing models using machine learning techniques and statistical algorithms at scale.
Apply AI/ML advancements to solve supply chain and planning problems, focusing on improving forecast accuracy and related business metrics.
Collaborate cross-functionally with clients, project management, solution architects, consultants, and data engineers to ensure successful delivery of forecasting solutions.
6+ years of experience in time series forecasting using heuristic-based hierarchical models and algorithms like exponential smoothing, ARIMA, and Prophet.
Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, Engineering, or related field.
Proficiency in Python and/or R for Data Science; strong knowledge of statistical and machine learning algorithms and building scalable ML frameworks.
Experience in applied analytical methods in supply chain and planning domains such as demand planning, supply planning, market intelligence, or inventory optimization.
Strong statistical background with deep experience in large-scale time series forecasting within supply chain contexts.
Ability to independently analyze complex problems, synthesize information, and clearly communicate results and assumptions.
Experience working collaboratively in multi-disciplinary teams managing client projects and integrating real-time data systems in enterprise environments.