Kinaxis
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Enterprise Software & Network Solutions · 1001 to 5000 Employees · Ottawa, Canada
We encourage you to explore job opportunities at Kinaxis and we also urge you to be cautious of recruitment scams. Learn more at www.kinaxis.com/en/careers. Everyday volatility and uncertainty demand quick action. Kinaxis® delivers the agility to make fast, confident decisions across integrated business planning and the digital supply chain. People can plan better, live better and change the world. Trusted by innovative brands, we combine human intelligence with AI and concurrent planning to help companies plan for any future, monitor risks and opportunities and respond at the pace of change. Powered by an extensible, cloud-based platform, Kinaxis delivers industry-proven applications so everyone can know sooner, act faster and remove waste. Don’t believe us? Ask us to prove it. Learn more at Kinaxis.com.
Hiring: Engineering
What employees say
+ great place to work so far
− nothing to complain about yet
More reviews on the company profile.
Interview experience · Associate Technical Consultant
The Kinaxis interview was conducted at Chennai , where there were totally 5 rounds - Online Assessment, Technical round, Presentation Round, HR Round and TA Round - The first round was OA, it consists of 30 MCQ and 2 cod
Average difficulty · Chennai · 23 reports
More interview insightsJob description
Overview
Elevate your career journey by embracing a new challenge with Kinaxis.
Responsibilities
- 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.
- 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
Qualifications
- 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.
Education
- Operations Research
- Industrial Engineering
- Applied Mathematics
- Computer Science
- Statistics
- Artificial Intelligence
- Machine Learning
- Data Science
- 50% Operations Research & Optimization
- 25% AI / Machine Learning
- 25% Product Development & Software Engineering
- 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
- Bachelor's Or Master's Degree In
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Job application FAQ
Last updated 3 November 2026
- How do I apply for Operation Research Scientist (AI/ML), Supply Chain at Kinaxis?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Kinaxis may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Operation Research Scientist (AI/ML), Supply Chain role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Operation Research Scientist (AI/ML), Supply Chain remote or on-site in Anywhere?
- This listing is marked remote with location Anywhere. Confirm details on the job description before applying.
- What skills matter for this Operation Research Scientist (AI/ML), Supply Chain role at Kinaxis?
- This is a mid-level Operation Research Scientist (AI/ML), Supply Chain role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.