ApplyStaff ML Data Scientist
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💎 Seniority level: Staff, At least 5 years, ideally closer to 10
📍 Location: United States, Canada
💸 Salary: 200000.0 - 250000.0 USD per year
🔍 Industry: Mining, Mineral Exploration, Technology
🏢 Company: KoBold Metals👥 101-250💰 $491,455,627 Series C 4 months agoArtificial Intelligence (AI)MineralMiningSoftware
🗣️ Languages: English
⏳ Experience: At least 5 years, ideally closer to 10
🪄 Skills: LeadershipPythonMachine LearningNumpyAlgorithmsData engineeringData scienceSpark
Requirements:
- At least 5 years of experience as a software engineer, data scientist, or ML engineer; ideally closer to 10 years.
- 2+ years of experience managing technical teams in complex and multidisciplinary projects.
- Proven record of building production-quality data processing solutions with tangible business value.
- Proficiency in foundational ML concepts, including statistical methods and traditional/deep learning approaches.
- Proficiency in Python, including array-based packages like xarray and numpy.
- Experience in scaling data operations using tools like Spark or Dask.
- Strong collaborative attitude across diverse team backgrounds.
Responsibilities:
- Architect, implement, and maintain foundational data science models for distributed processing of large-scale geospatial data applicable to mineral exploration projects.
- Build tooling for enhanced machine learning capabilities from remote sensing data in collaboration with the engineering team.
- Improve current processing pipelines for lidar, high resolution imagery, and hyperspectral data.
- Implement advanced analysis methods like spatially aware clustering and anomaly detection.
- Collaborate with data scientists, geoscientists, and engineers to deploy algorithms that combine large data sets for exploration.
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