Role: Director – Data Science (Supply Chain)

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

About the Role

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.

Roles & Responsibilities

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

Mandatory Skills & Qualifications

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

Desired Skills

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

Data Engineering,Supply Chain,Big data

Director Data Science (Supply Chain)