Operation Research Scientist (AI/ML), Supply Chain
Kinaxis
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Benefits offered by this job
Job summary
Kinaxis is seeking a Software Developer I to join the Operations Research team in Chennai/Bengaluru. You will help develop optimization models, simulation engines, and AI-driven decision intelligence for Kinaxis Maestro platform.
The role blends OR, applied mathematics, machine learning, and software engineering to solve complex supply chain planning challenges. The ideal candidate has a strong foundation in OR, mathematical modeling, statistics, ML, and Python.
Qualifications
- Bachelor's or higher in OR/Applied Math/CS/Statistics or related fields.
- Strong Python programming and software development fundamentals.
- Experience with ML/AI concepts, optimization, and data analysis.
- Experience building scientific/analytical software solutions.
- Familiarity with cloud-native apps and distributed computing.
Responsibilities
- Develop optimization and analytical software components for supply chain planning.
- Translate business problems into scalable analytical solutions.
- Contribute to modelling, simulation, and AI-driven decision capabilities.
- Participate in code reviews, testing, and CI/CD pipelines.
- Collaborate with cross-functional teams to deliver enterprise products.
Skills
Education
Tools
Job description
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® CertifiedTM. 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
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.
- 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.
- 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.
- 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.
- 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.
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
- Strong Python programming skills
- Object-Oriented Programming
- Data Structures and Algorithms
- SQL
Knowledge of:
- Machine Learning fundamentals
- Predictive Analytics
- Statistical Learning
- Model Evaluation Techniques
- Data Analysis
Experience with:
- Scikit-Learn
- Pandas
- NumPy
- PyTorch or TensorFlow
- Version Control (Git)
- Unit Testing
- Debugging and Troubleshooting
- Software Design Principles
- Agile Development Practices
- Academic or internship experience involving Operations Research, Optimization, Simulation, Machine Learning, or Advanced Analytics.
- Experience building scientific or analytical software solutions.
- Exposure to supply chain planning, logistics, inventory management, manufacturing, or related domains.
- Familiarity with cloud-native applications and distributed computing.
- Experience handling large datasets and computationally intensive problems.
- Strong passion for Operations Research and analytical problem solving.
- Ability to convert mathematical concepts into scalable software solutions.
- Curiosity for learning AI, Machine Learning, and advanced optimization techniques.
- Strong quantitative and programming skills.
- Excellent collaboration and communication abilities.
- Desire to build enterprise-grade products that deliver measurable business value.
Bachelor's or Master's degree in:
- Operations Research
- Industrial Engineering
- Applied Mathematics
- Computer Science
- Statistics
- Artificial Intelligence
- Machine Learning
- Data Science
A successful candidate will typically have an educational background in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, or Computer Science, combined with strong Python programming skills and exposure to AI/ML. They are excited about building scientific products that combine Operations Research, optimization, simulation, machine learning, and decision intelligence to solve complex real-world planning challenges.
Role Emphasis:
- 50% Operations Research & Optimization
- 25% AI / Machine Learning
- 25% Product Development & Software Engineering
Work With Impact:Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day—when we see store shelves stocked, when medications are available for our loved ones, and so much more.
Work with Fortune 500 Brands:Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Ford, Unilever, Yamaha, P&G, Lockheed-Martin, and more.
Social Responsibility at Kinaxis:Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact.
People matter at Kinaxis and these are some of the perks and benefits we created for our team:
- Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month)
- Flexible work options
- Physical and mental well-being programs
- Regularly scheduled virtual fitness classes
- Mentorship programs and training and career development
- Recognition programs and referral rewards
- Hackathons
For more information, visit the Kinaxis web site atwww.kinaxis.comor the company’s blog athttp://blog.kinaxis.com.
Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at recruitmentprograms@kinaxis.com. Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses.
Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description, to identify candidates whose education, experience and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.
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