Associate Data Scientist Co-Op/Intern

Toronto, Canada

Applications have closed

Kinaxis

Revolutionize supply chain management with Kinaxis. Get end-to-end transparency to make fast, collaborative decisions with the power of concurrency.

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At Kinaxis, who we are is grounded in our common belief that people matter. Each one of us plays an important part in accomplishing our work, building our culture and making a global impact.

Every day, we’re empowered to work together to help our customers make fast, confident planning decisions. This is how we create a better planet – for each other, for our customers and for generations to come. Our cloud-based platform RapidResponse ensures that the products we need – everything from medicine and cars, to day-to-day items like toothpaste – make it to market and into our hands when we need them with minimal ecological footprint.

We make the world better, and you can too.

Associate Data Scientist Co-Op/Intern

Job location: Remote Canada or USA

Term Length: 8 or 12 Months starting September 2021

About the team

Working alongside the Rubikloud data science team, the intern will familiarize with solution scope, capabilities and technology aspects and define a learning path and content for anyone interested to rapidly gain a basic understanding about this new AI/ML technology.

What you will do

Your 4 month project will be a mix of study, interviews and on the job coaching during projects by KXS experts allow you to:

  • Familiarize with RK technology for Forecasting, Demand sensing and Promotion Optimization with R&D, sales and implementation experts from Kinaxis
  • Shadow implementations on Retail and Consumer-goods projects to understand the offered solution capabilities
  • Learn about benefits, used cases and functionalities of this new technology
  • Understand the Kinaxis continuous learning concepts and methodologies with our learning experts
  • Formulate recommendations how we can best educate sales executives,  future implementers and learning experts about this new technology
  • May perform additional projects upon request

What we are looking for

  • Solid Supply Chain and AI/ML Academic foundation
  • Familiar with latest AI/ML technology and scripting
  • Autonomous and comfortable working in Virtual environment

Things that would definitely help

  • Looking for a future career in data science as Junior Data Scientist
  • Passion for forecasting
  • Self-Starter

What We Have to Offer

  • Challenging Work - We love solving highly complex problems. And as the global leaders in our industry, we never stop innovating—our work is never “done. That’s because across our teams and in all roles, every employee is empowered to bring their best ideas forward and to jump in and solve the problems they’re passionate about.
  • Great People - We take our work seriously, but we don’t take ourselves too seriously! It’s in our DNA to celebrate, laugh, and have fun. We are stronger, together, when we are open, honest, and above all, real. Every person is valued here and plays an important role in our shared success.
  • Global Impact - As a global team spanning continents, boundaries, and cultures, every day we are inspired by the impact our work has on our colleagues, our customers, our communities, and the world at large.
  • Diversity, Equity and Inclusion - Diversity, equity and inclusion are more than words to us. They are the guiding principles for building a culture where we celebrate each others’ differences, continuously strive for equality and recognize that inclusion makes us stronger as individuals, a company and a global citizen.
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. Accommodations are available upon request for applications in all aspects of the recruitment process. If you require accommodation, please contact Human Resources at accommodation@kinaxis.com

 

 

Tags: Machine Learning R R&D

Perks/benefits: Career development

Region: North America
Country: Canada
Job stats:  80  16  1
Category: Data Science Jobs

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