Director Data Science (Supply Chain)

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