Closing Date: August 31, 2021

Are you looking for an opportunity to apply your expertise in Optimization and Operations Research to real-world problems that shape the future of an industry?

At RACE21™ we are working on redefining the mining sector, and we need help!

The Data Scientist - Operations Research will be working with other Data Scientists, Software Developers, and Product Owners in a multifunctional and Agile environment to solve exciting optimization problems across our Domains from Processing, Supply Chain and Inventory Management to Integrated Operations. Together we will contribute to the digital transformation of our business operations to reach our objectives in sustainability and efficiency!

Responsibilities :

• Be a courageous safety leader, adhere to and sponsor safety and environmental rules and procedures
• Be a courageous safety leader, adhere to and sponsor safety and environmental rules and procedures
• Collect, parse, analyze and visualize large sets of data using multiple database and parallel data processing technologies
• Develop sophisticated and transparent optimization models that can be solved efficiently and deliver business value
• Translate complex functional and technical requirements into robust software
• Prepare documentation of models and design decisions for data and product development teams
• Find opportunities across our business to reduce cost, improve safety, sustainability, and efficiency
• Communicate insights and propose solutions to internal clients and partners and provide reports and guidelines for improving operations

Qualifications :

• Expertise in Mixed Integer Programming, Linear Programming, and Constrained Optimization
• A demonstrated ability in Data Science or Operations Research, derived from hands-on experience working on multiple projects that went into production in an industry setting
• Proficiency in Python for data processing, statistical analysis, and visualizations and skilled in writing SQL queries
• Familiar with data modeling paradigms and different data structures and algorithms
• Experience working in Agile or using other rapid development methods and environments
• Excellent problem solving, critical thinking, and communication skills
• Experience in developing presentations and communications to be shared internally and externally
• High energy and passion for the role that can influence those around them in a collaborative and informative manner
• Able to build a sense of trust and rapport that creates a comfortable & effective workplace

At Teck, we value diversity. Our teams work collaboratively and respect each person’s unique perspective and contribution.

Qualified applicants interested in joining a dynamic team are encouraged to submit a resume and cover letter electronically.

We wish to thank all applicants for their interest and effort in applying for the position; however, only candidates selected for interviews will be contacted.

Your application to this posting is deemed to be your consent to the collection, use and necessary disclosure of personal information for the purposes of recruitment. Teck respects the privacy of all applicants and the confidentiality of personal information.

Teck is a diversified resource company committed to responsible mining and mineral development with major business units focused on copper, steelmaking coal, and zinc, as well as investments in energy assets. Headquartered in Vancouver, Canada, its shares are listed on the Toronto Stock Exchange under the symbols TECK.A and TECK.B and the New York Stock Exchange under the symbol TECK.

The pursuit of sustainability guides Teck’s approach to business. Teck is building partnerships and capacity to confront sustainability challenges within the regions in which it operates and at the global level. In 2019, Teck was named to the Dow Jones Sustainability World Index (DJSI) for the tenth straight year, indicating that Teck’s sustainability practices rank in the top 10 per cent of the world’s 2,500 largest public companies in the S&P Global Broad Market Index.

Learn more about Teck at www.teck.com or follow @TeckResources

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