Machine Learning Developer
Toronto, Canada
Kinaxis
Revolutionize supply chain management with Kinaxis. Get end-to-end transparency to make fast, collaborative decisions with the power of concurrency.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.
Machine Learning DeveloperJob location: Anywhere in Canada
About the team
The Data Science team is responsible for delivering machine learning solutions in the supply and demand space for verticals such as Retail, Consumer Packaged Goods, Life Sciences etc. This includes problems in the space of forecasting, optimization, replenishment, explainability, and more. Our data scientists enjoy breaking down complex business problems into technical requirements, doing the research to come up with effective solutions, and working with the engineering teams to implement the new features into the product.
We are looking for passionate data scientists to join our talented team and help us build products that leverage machine learning to solve real world business problems.
What we are looking for
- Strong familiarity with various machine learning & statistical techniques
- Proficiency in Python
- Masters/PhD degree or equivalent in a quantitative field
- 3 years of experience building models from data
- Experience working with relational data via SQL
- Ability to work in *nix environments
- Self-motivated, strong sense of ownership, and adaptable in a fast paced environment
- Ability to initiate and drive projects to completion with minimal guidance
- Strong written and verbal communication skills to describe results of analyses in a clear and effective manner
Nice to have
- Experience with big data technologies such as PySpark and Hadoop
- Software development experience
- Experience working with major cloud technologies (AWS, Azure, and GCP)
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. 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 Human Resources at accommodations@kinaxis.com. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.
Tags: AWS Azure Big Data Engineering GCP Hadoop Machine Learning PhD PySpark Python Research SQL
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