Environmental Data Scientist
1145 Hunt Club Road, Ottawa, ON, CA
7d ago


As an Environmental Data Scientist, you will support numerous multi-disciplinary Environmental Engineering project teams with managing environmental quality and laboratory analytical data used in the assessment and remediation of contaminated sites.

You will interface with digital solution specialists, project managers, laboratories, data technicians and GIS / drafting techicians to assure the reporting quality of environmental data.

Using the environmental database EQuIS(TM) and other digital solutions, you will review sampling programs and analytical data, compile and update regulatory standards, support the preparation of report-

quality results, trouble-shoot and provide solutions, and conduct quality control so that data management, reporting and visualization is completed in an efficient and timely manner.

In this role, you will contribute to critical path work which will be relied upon to make fundamental engineering decisions that affect clients, the public and SNC-Lavalin.

The successful candidate for this entry level position will have a strong understanding of organic and inorganic chemistry coupled with technical knowledge of database and data interpretation.


  • B.Sc. in Chemistry or related field;
  • Experience or specialized training in the use of databases such as MS Access, SQL or equivalent;
  • 1 to 2 years of related work experience;
  • English speaking;
  • Bilingual preferred (English and French)

  • Self-motivated, independent worker with strong organizational skills and the ability to manage time and multiple tasks;
  • Analytical thinker with problem solving skills;
  • Strong commitment to teamwork and multi-disciplinary communication skills;
  • Commitment to excellence;
  • Focus on quality control, quality management and attention to detail.
  • Regular

    At SNC-Lavalin, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-

    class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.

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