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KoBold Metals

Data Scientist - Staff or Senior (Australia)

KoBold Metals · Remote

Posted about 3 months ago

or apply directly on KoBold Metals's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
KoBold Metals's roles stay open a median of 81 days
Reposted
No
Salary listed
No
69% of KoBold Metals's roles list one
Ghost-job risk at KoBold Metals
high
36 stale, 0 reposted of 36 open
Hiring momentum
38 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from KoBold Metals's own greenhouse board since 2026-08-03. Full hiring picture for KoBold Metals.

About this role

As a Data Scientist at KoBold, you will build predictive models and apply scientific computing methods to identify locations of ore-grade mineralization. You will work closely with geoscientists to integrate various data types into proprietary software tools, develop models, and create visualizations to guide exploration efforts. This role involves collaboration with external partners and requires a hands-on approach to solving scientific problems in mineral exploration.

Our read on this posting2.4out of 5
benefits
2/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of KoBold Metals as an employer.

What you need

  • Extensive experience with Python’s data science packages and general software engineering practices
  • Collaborative software development (git)
  • Familiarity with software engineering best practices like unit test/integration test suites and CICD pipelines
  • Experience with cloud computing resources
  • Building predictive models and evaluating results
  • Geospatial analyses and visualizations

Nice to have

  • Experience creating machine learning models on geospatial data
  • Knowledge of geostatistics
  • Experience with image processing or computer vision
  • Familiarity with distributed computing applications for machine learning

What you get

  • Equity
  • Remote-first workplace
  • Opportunity for hands-on exposure to exploration projects
  • Minimum of one week travel to project sites per year

Worth weighing

  • No salary listed for roles outside the US
  • Dynamic work environment may require adaptability
  • Expectations for fieldwork and travel may not suit all candidates

Summarised from KoBold Metals's posting. Read the full original.

Listed by KoBold Metals on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

More roles at KoBold Metals

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