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Lead Data Scientist

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Company
Summit Search Group
Job location
Greater Vancouver, CA
Salary
Undisclosed
Posted
Hosted by
Adzuna

Job details

Location: Richmond, BC (Hybrid) | Salary: $135,000 – $175,000 The Company Our client to revolutionizing the mining industry through cutting-edge technology. They are pushing the boundaries to make mining more efficient, and environmentally friendly. About the Role We are seeking a Lead Data Scientist to lead the development of AI/ML solutions for geoscience, focusing on multi-physics data integration, large language models (LLMs), and advanced neural networks. You’ll collaborate with multidisciplinary teams and play a critical role in advancing cutting-edge product offerings in the mining and geoscience sector. Key Responsibilities Develop AI/ML models for geoscience applications, integrating geophysical, geological, and geochemical data. Design and deploy LLMs, generative AI, and neural networks for predictive modeling and data analysis. Mentor data scientists and drive innovation through collaboration with geoscientists and engineers. Stay updated on AI/ML advancements and apply them to subsurface exploration challenges. First 90 Days Familiarize with current AI/ML projects and workflows. Define a strategic roadmap for AI/ML initiatives. Deliver quick wins showcasing AI/ML’s impact on geoscience solutions. Must-Haves 8 years in AI/ML or data science , with experience in geoscience, geology, or geophysics. Significant experience in geoscience, geology, geophysics, geochemistry, or multi-physics integration. Expertise in neural networks, generative AI, LLMs, and frameworks like TensorFlow or PyTorch. Strong programming skills (Python, R, or Julia) and familiarity with cloud platforms (AWS, Azure, or GCP). Proven technical leadership and success in delivering impactful AI/ML solutions. Master’s or Ph.D . in Data Science, Computer Science, or related fields. Nice-to-Haves Experience with geospatial tools (QGIS, ArcGIS) or 3D platforms (Leapfrog). Familiarity with CI/CD pipelines, uncertainty quantification, and time-series analysis. Perks Early equity options and performance-based incentives. Comprehensive benefits, including health, wellness, and parental leave. Paid closure between Christmas and New Year’s. Opportunities for professional growth and accreditation support. If you’re ready to join a team that’s shaping the future of mining, we want to hear from you If you have any questions please contact me directly at kelly.lynchsummitsearchgroup.com. Further details will be shared with shortlisted candidates.
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