Director Data Science (Supply Chain)

Location: Bengaluru
Experience: 15+ years
Job Type: Full-time

We are looking for a seasoned Director – Data Science to lead and scale advanced analytics and AI initiatives with a strong focus on Supply Chain, Manufacturing, and Operations. This role requires a strategic leader who can translate business challenges into data-driven solutions, drive large-scale transformations, and build high-performing teams while working closely with clients and leadership stakeholders.

• Define and drive the data science vision, strategy, and roadmap for supply chain and operations-focused engagements
• Lead end-to-end AI/ML programs across demand forecasting, inventory optimization, logistics, procurement, and manufacturing analytics
• Translate complex supply chain problems into scalable analytical solutions delivering measurable business impact
• Combine hands-on technical contribution, team leadership, and client engagement in a fast-paced, evolving environment
• Build and scale high-performing data science teams, ensuring strong execution, mentoring, and capability development
• Drive project management excellence, including planning, estimation, execution, and stakeholder communication
• Develop and implement scalable processes and frameworks for faster delivery and improved accuracy across engagements
• Act as a trusted advisor to client leadership, influencing decision-making through data-driven insights
• Collaborate with pre-sales and business teams to shape solutions, proposals, and go-to-market strategies
• Contribute to internal product and accelerator development in the supply chain analytics space
• Ensure adoption of best practices in MLOps, model deployment, and lifecycle management

• Bachelor's/Master's degree in Engineering, Data Science, Statistics, Mathematics, or related quantitative field (MBA preferred)
• 15+ years of experience, with 12+ years in Data Science, Machine Learning, and AI
• Strong expertise in Supply Chain / Manufacturing / CPG / Operations analytics
• Hands-on experience with:Programming: Python, R, SQL, NoSQL
  Big Data & Distributed Systems: Spark, Hadoop
  Cloud Platforms: AWS, Azure, or GCP
  Libraries/Frameworks: NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch, NLP models (e.g., BERT)
• Strong foundation in:Machine Learning & Deep Learning
  Statistics & Data Mining
  Optimization techniques and simulation models
• Proven ability to derive insights from large datasets and drive business outcomes

• Deep expertise in advanced ML techniques across structured and unstructured data
• Experience with large-scale data processing and distributed computing environments
• Exposure to digital supply chain transformation initiatives
• Strong experience in client-facing roles and stakeholder management
• Excellent communication, leadership, and influencing skills