01Responsibilities
- Lead data-driven insights and design digital supply chain analytics solutions for business optimization.- Transform complex data into actionable strategies to improve supply chain planning and performance.- Utilize planning platform to support demand forecasting, supply optimization, and scenario planning.- Possess expertise in Machine Learning , Data Science , SQL, Advanced Analytics, Power Query, and VBA to drive automation and decision-making.- Engage with multiple CPG clients, presenting data-driven findings to senior stakeholders for strategic decision-making.- Collaborate across procurement, logistics, and finance functions to enhance operational efficiency.- Lead automation initiatives and support transformation programs to improve scalability.- Develop POVs on Agentic AI and Gen AI use cases to drive innovation in analytics applications.- Manage and mentor analytics teams, ensuring high-quality delivery and execution across engagements.Educational Qualification / Work Experience & Skills:- PG / MBA / BE / B.Tech with min 9 years of experience as a Data Scientist in Supply Chain Analytics / Supply Chain Transformation ( with good experience into Demand Planning)- Expertise in at least two of the following areas: demand planning, inventory management, S&OP, or logistics.- Hands-on experience with O9 , Kinaxis, SAP, or similar platforms. ( Would be an Added Advantage)- Strong analytical thinking, communication skills, and leadership experience.- Ability to manage multiple clients in a fast-paced environment.- Proficiency in Machine Learning , Data Science ,Python, SQL, VBA, and Advanced Excel, with strong data modeling and reporting skills.- Exposure to AI-driven Agents within supply chain operations.- Experience with Power BI/Tableau for data visualization and insights.- Understanding of global supply chain operations and live data ingestion tools. .
