Operation Research Scientist (AI/ML), Supply Chain

About Kinaxis Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it’s really our people who give us passion to always seek ways to do things better. As such, we’re serious about your career growth and professional development, because People matter at Kinaxis.

In 1984, we started out as a team of three engineers based in Ottawa, Canada. Today, we have grown to become a global organization with over 2000 employees around the world, and support 40,000+ users in over 100 countries. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries. We are expanding our team in Chennai and around the world as we continue to innovate and revolutionize how we support our customers.

Our journey in India began in 2020 and we have been growing steadily since then! Building a high-trust and high-performance culture is important to us and we are proud to be Great Place to Work® Certified TM . Our state-of-the-art office, located in the World Trade Centre in Chennai, offers our growing team space for expansion and collaboration.

Location Bangalore, India

About The Team Kinaxis is seeking a highly analytical Software Developer I to join its Operations Research (OR) team. This role is focused on developing the scientific and optimization capabilities that power the Kinaxis Maestro platform.

As part of the Algorithms organization, you will work at the intersection of Operations Research, Applied Mathematics, Artificial Intelligence, and Software Engineering to solve complex supply chain planning problems. You will contribute to the design, implementation, testing, and enhancement of optimization models, simulation engines, predictive analytics solutions, and AI-driven decision intelligence capabilities used by some of the world’s largest enterprises.

This position is ideal for candidates with strong foundations in Operations Research, Mathematical Modeling, Statistics, Machine Learning, and Python software development.

**What you will do** Key Responsibilities Operations Research & Scientific Computing

• Develop and maintain optimization and analytical software components for supply chain planning applications.
• Implement mathematical models, optimization frameworks, simulation models, and decision support methodologies.
• Translate business problems into scalable analytical and optimization solutions.
• Contribute to improving solution quality, scalability, robustness, and computational performance.
• Validate algorithms through experimentation, benchmarking, and statistical analysis.
• Work with large-scale planning, inventory, network, and resource allocation problems.

AI & Machine Learning

• Support the development of AI-powered planning and decision intelligence capabilities.
• Build data preparation, feature engineering, model training, and inference workflows.
• Apply machine learning techniques to forecasting, prediction, classification, and recommendation problems.
• Collaborate with scientists to productionize advanced analytical and AI solutions.
• Assist in developing explainable and trustworthy AI capabilities.

Software Product Development

• Develop production-quality software using Python.
• Design reusable, maintainable, and testable software components.
• Participate in code reviews, technical discussions, and architecture reviews.
• Troubleshoot software defects and performance bottlenecks.
• Contribute to CI/CD pipelines, automated testing, and engineering best practices.

Research & Innovation

• Evaluate emerging techniques in Operations Research, AI, and Machine Learning.
• Participate in proof-of-concepts and innovation initiatives.
• Collaborate with cross-functional teams to bring scientific innovations into enterprise products.

**Technologies we use** Operations Research Foundations Strong Understanding Of One Or More Of The Following

• Operations Research
• Mathematical Optimization
• Linear and Integer Programming
• Network Optimization
• Simulation
• Stochastic Modeling
• Probability and Statistics
• Decision Science
• Mathematical Modeling

Programming

• Strong Python programming skills
• Object-Oriented Programming
• Data Structures and Algorithms
• SQL

AI & Machine Learning Knowledge Of

• Machine Learning fundamentals
• Predictive Analytics
• Statistical Learning
• Model Evaluation Techniques
• Da…