Data Geoscientist

Data Geoscientist Location:

Vancouver, BC, Canada

Company Overview SRK Consulting

is an independent, international consulting practice, providing globally integrated consulting services to the international mining and metals sector.

Job Description We are seeking a Data Geoscientist to join our Vancouver-based Geology and Geotech team, which includes structural geologists, resource geologists, and rock mechanics engineers. The role involves completing data science projects related to mining rock mechanics and geoscience, including data processing, analysis, and machine learning model implementation across the mining lifecycle. You will collaborate within a multidisciplinary team to deliver high-value solutions to clients.

Responsibilities

Apply data science techniques to geoscience data related to mining projects.

Develop and implement machine learning models for various projects.

Collaborate with multidisciplinary teams to deliver solutions.

Participate in field investigations as needed.

Minimum Requirements

Postgraduate degree in a field involving advanced statistical analysis and/or machine learning applied to geoscience.

Experience in the mining/metals industry.

Registration as an Engineer or Geologist in Training (EIT/GIT) with Engineers and Geoscientists BC (EGBC).

Strong programming skills in Python, R, Julia, and familiarity with frameworks like TensorFlow and PyTorch.

Solid theoretical background with practical problem-solving skills.

Ability to work independently and as part of a team.

Willingness to participate in field investigations.

Preferred Additional Skills

Experience with cloud platforms such as Microsoft Azure.

Proficiency with geospatial tools (ArcGIS, QGIS) and 3D modeling software (Leapfrog).

Experience in rock mechanics, soil mechanics, structural geology, or geostatistics.

Data integration experience in geoscience, geophysics, or geochemistry.

Previous consulting experience.

Compensation and Benefits The estimated base salary range is $70,000 to $120,000, commensurate with skills and experience. We offer an attractive compensation package, diverse projects, opportunities for share ownership, and a dynamic, non-hierarchical work environment.

Application Process Interested candidates should submit their CV online. Selected applicants will be contacted directly. No phone calls please.

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