Hybrid Data Scientist Data Scientist with verification

This role works closely with our customers so being comfortable and having strong client facing skills is quite important. You will be part of the Data Science and Machine Learning team but work very cross functionally with other teams.

This role can be fully remote in Australia or the United States, we have a physical HQ in Adelaide and teams spread across Australia and the US who sometimes collaborate in person.

We are unable to provide or transfer Visa Sponsorship, only those with full working rights can be considered.

About Fleet Space

Fleet Space Technologies vision from the beginning was to build technologies to help humanity explore and connect the Earth, Moon, and Mars.

This led us to develop and launch one of Australia’s largest constellation of satellites, create our satellite-enabled mineral exploration technology (ExoSphere), and send Australia’s first seismic technology (SPIDER) to the Moon in 2026.

ExoSphere, our end-to-end mineral exploration solution powered by space and AI, aims to accelerate critical mineral discovery needed for the clean energy technologies foundational to humanity’s clean energy future.

As part of Fleet’s founding vision, we also apply our technology to innovative solutions for defense and space exploration, including an upcoming mission to the Moon. Headquartered in Adelaide, South Australia, Fleet has rapidly grown to over 130 employees including a growing team in the USA, Canada, and beyond.

We have raised over $85M AUD in venture funding, backed by premier investors including Blackbird, Grok, and In-Q-Tel and in 2023 we were recognized by the Australian Financial Review (AFR) as the #1 fastest growing technology company in Australia.

To the moon!

About the role

Our Data Scientist work on a mix of research, running models (often regression and classification), data analysis on Geospatial data.

Some of the responsibilities include:

Data Collection and Management

• Gather and integrate large volumes of geological, geophysical, geochemical, and remote sensing data from diverse sources.
• Work with the data engineering team to ingest data into databases and pipelines, ensuring quality, integrity, and accessibility.

Data Analysis and Interpretation

• Apply statistical analysis and machine learning algorithms to identify patterns and anomalies in exploration data.
• Use spatial data analysis techniques to create predictive models for mineral prospectivity.

Machine Learning and Modeling

• Develop and implement machine learning models to predict the location of mineral deposits.
• Continuously refine models based on new data and exploration results.

Collaboration and Communication

• Work closely with geologists, geophysicists, and other exploration team members to understand data needs and provide actionable insights.
• Present findings and recommendations to technical and non-technical stakeholders through reports, visualizations, and presentations.

Tool Development and Innovation

• Develop custom software tools and scripts to automate data processing and analysis tasks.
• Stay updated with the latest advancements in data science, machine learning, and mineral exploration technologies, and implement innovative solutions.

What we are looking for

• Experience in the mining or mineral exploration industry, specifically in Explorational Geology. This could be you started in Geology and moved in Data Science or you've worked in Data Science with Geospatial Data but this combination is a must have for this role
• Understanding of mineral economics and the exploration lifecycle
• Proficiency in the Python data science ecosystem (pandas, scikit-learn, matplotlib, general python fluency)
• Understanding of the application of geophysical & geological methods for mineral exploration (e.g. potential fields, EM, seismic, geochemistry, structural geology)
• Experience with deep learning frameworks (e.g. PyTorch, TensorFlow) is a plus
• Strong ability to communicate directly with clients, partners and internal stakeholders.

Qualifications and Experience

• Bachelor’s or Master’s degree in Data Science, Geosciences, Computer Science, or a related field. A PhD is a bonus.
• 3+ years of experience in data science, preferably within the mineral exploration, remote sensing or natural resources sector.
• Proven experience with Geospatial data

Fleet's Culture & Benefits

We are revolutionizing the exploration of new worlds with advanced space technology to build a more prosperous future for humanity.

As a business, we are ambitious, innovative, and collaborative and we put our customers first in everything that we do.

Our company values guide us to our North Star of ambitious, collaborative success - AD ASTRA (“To the Stars!”)

Add Value: Obsessively add value for our customers

Drive Excellence: Benchmark against the best

Agile Action: Take Action. Independent, fast, frugal action

Seek Truth: Be curious. Explore

Take Responsibility: Make decisions and own them

Radical Ideas: We are unique. We do things differently

Always Deliver: We always find a way to get it done on time

Our benefits include:

We have an extremely flexible work culture, with a mix of onsite, hybrid and remote workers who take time for school runs, exercise and appointments. It's about getting the work done, not time at desk.

Equity (ESOP) grants.

10 extra Wellness days per year.

Access to confidential Psychologist appoints via our Employee Assistance Program.

Dedicated learning budgets.

Plenty of opportunity to be part of an amazing STEM program to create the next generation of explorers.