×
Register Here to Apply for Jobs or Post Jobs. X

Data Scientist

Job in Brampton, Ontario, Canada
Listing for: Linde
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 85000 CAD Yearly CAD 85000.00 YEAR
Job Description & How to Apply Below
Data Scientist (Full-Time) - Brampton, ON
- Description

This is a unique opportunity to collaborate with a diverse team of technical experts to solve a variety of complex problems in a fun and dynamic environment. With flexibility to use the latest tools and technology, imagination and creativity are the only limitations on your impact!

The Data Scientist will be a member of the Digital Americas organization. Digital Americas is a multi-disciplinary technical team comprised of data scientists, software engineers and operations research experts. The team serves Linde business units and is tasked with creating analytics and decision support systems that deliver solutions for challenging problems across operations, supply chain and business process.

The candidate will work closely with our software engineers to enable stakeholders to seamlessly use our technology. The candidate must possess the ability to architect the appropriate solution from the ground up based on a set of business requirements.

Key Accountabilities:

  • Collaborate with business partners to understand product requirements and define appropriate technical solutions
  • Lead technical development of cutting-edge analytics and decision support tools
  • Stay abreast of new technology and actively contribute ideas for new programs
  • Balance development of new solutions with replication and support of existing tools
  • Qualifications

    Qualifications

    Required:

  • Master’s degree in Statistics, Operations Research, Computer Science or with a specialization in data science or analytics
  • Experience formulating and solving optimization, machine learning, forecasting or statistical modeling problems
  • Skilled with a major programming language such as Python, Java, C++, C#, or C
  • Ability to succinctly convey complex solutions to business stakeholders and executive leadership
  • Availability to travel up to 25%, domestic and international
  • Preferred:

  • PhD degree in Statistics, Operations Research, Computer Science or with a specialization in data science or analytics
  • 2 years of relevant industry experience
  • Experience with SQL and designing and using databases
  • Experience with data visualization
  • Experience working with Large Language Models and generative AI technologies
  • This is a new position with a starting salary of $85,000/year.

    Linde has an extensive background check process which may include but is not limited to, a criminal background review, reference checks, employment and education verification.

    Linde Canada Inc. is committed to providing accommodations for people with disabilities. Applicants requiring accommodation during the recruitment and selection process are encouraged to make their needs known in advance if accommodation is required. We will work with you to meet your needs.

    We are committed to employment equity for women, aboriginal people, visible minorities, and persons with disabilities. Interested candidates from these groups are encouraged to apply.

    Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
    To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
     
     
     
    Search for further Jobs Here:
    (Try combinations for better Results! Or enter less keywords for broader Results)
    Location
    Increase/decrease your Search Radius (miles)

    Job Posting Language
    Employment Category
    Education (minimum level)
    Filters
    Education Level
    Experience Level (years)
    Posted in last:
    Salary