About Kinaxis
In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, with a brand-new HQ based in Kanata North in Ottawa. As one of Canada’s Top Employers for Young People (2024), we want to help you take the first step in crafting your career journey.
At Kinaxis, we power the world’s supply chains to help preserve the planet’s resources and enrich the human experience. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries, with more than 40,000 users in over 100 countries. We are expanding our team as we continue to innovate and revolutionize how we support our customers.
Location
This is a hybrid position. You must be in the Ottawa, Canada office, at least three days a week.
About the team
As a member of our Core Algorithms team, you will focus your skills on designing and developing new techniques for testing the analytics engine of our Maestro platform.
This is a full-time, 4-month position, starting January, 2025.
To be eligible for a co-op or intern position at Kinaxis, you must either be currently enrolled in full-time education or, if you are a recent or upcoming graduate, your graduation date must be within 12 months of the placement end date.
What you will do
- Collaborate with the team to verify and validate heuristic algorithms to ensure they meet quality and performance benchmarks.
- Design and develop tools to process and analyze large datasets.
- Contribute to creating systems that help improve the quality and reliability of our algorithms.
What we are looking for
- Completion of at least 2nd year of studies in Computer Science / Software Engineering
- A love of data and algorithms, and the desire to apply them in the real world
- Programming and scripting techniques/languages experience (C++, C#, Python)
- Knowledge and experience in relational database design and usage (SQL, complex joins)
- Ability to ‘think outside of the box’ is crucial in this fast-paced environment
- Exceptionally strong analytical skills
- Strong teamwork and interpersonal skills
- Adaptable and flexible to changing priorities
- Self-starter with strong initiative and results orientation
- Commitment to help every member of your team perform better
Nice to have
- Machine Learning Techniques: Familiarity with supervised and unsupervised learning methods, model evaluation, and optimization.
- Python Libraries: Hands-on experience with tools like Pandas, NumPy and scikit-learn.
- Visualization Skills: Ability to create clear and insightful visualizations to present data patterns and results effectively.
We’re accepting applications now through end of day Wednesday, Dec 4, 2024. All submissions will be reviewed during this time, as well as after the posting closes.
#Coop, #Internship, #Intern #LI-EN1
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 at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com.
Kinaxis strongly encourages diverse candidates to apply to our welcoming community. We strive to make our website and application process accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at recruitmentprograms@kinaxis.com. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.
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.
