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 solid 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
- Robust 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) (Bengaluru)
🏢 Mopid
📍 Bengaluru