Geoscience Data Scientist – Hybrid in Richmond

Geoscience Data Scientist – Hybrid in Richmond

Richmond Full-Time 100000 - 130000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Enhance geoscience workflows using advanced data science and Python programming.
  • Company: Dynamic tech scale-up focused on innovation and collaboration.
  • Benefits: Competitive salary, flexible hours, benefits, and equity growth opportunities.
  • Other info: Hybrid role with excellent career advancement potential.
  • Why this job: Join a cutting-edge team and make an impact in geoscience with AI.
  • Qualifications: Strong background in geoscience and experience with complex datasets.

The predicted salary is between 100000 - 130000 $ per year.

A dynamic tech scale-up is seeking a Geoscientific Analyst to enhance their geoscience workflows using advanced data science and Python programming skills.

This role involves optimizing data pipelines, supporting muon tomography, and improving data processing methods.

The ideal candidate will have a strong background in geoscience, experience with complex datasets, and excellent collaboration skills.

The position is hybrid with flexible working hours, offering a competitive salary of $100,000 - $130,000 CAD, benefits, and opportunities for equity growth. #J-18808-Ljbffr

Geoscience Data Scientist – Hybrid in Richmond employer: Ideon Technologies

Ideon Technologies is an exceptional employer located in Richmond, BC, offering a dynamic work environment where innovation thrives. With a strong commitment to employee growth, we provide opportunities for mentorship, tuition support, and a flexible hybrid work model that promotes work-life balance. Our culture encourages collaboration and creativity, making it an ideal place for passionate individuals eager to contribute to groundbreaking solutions in the tech industry.

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Contact Details:

Ideon Technologies Recruitment Team

We think you need these skills to ace Geoscience Data Scientist – Hybrid in Richmond

Geoscience Knowledge
Data Science
Python Programming
Data Pipeline Optimization
Muon Tomography Support
Data Processing Methods
Experience with Complex Datasets