Data Scientist

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.

Fleet Space is looking for a combination of Data Science and Explorational Geology experience to work on new product features in our core ExoSphere product in our next Data Scientist. 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.

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

Please note: It's a must have to be considered for this role that you have prior experience in Explorational Geology or GeoSpatial Data paired with a minimum of 3 years as a Data Scientist, Mid or Senior level.

About the role

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

Some of the responsibilities include:

1. 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.
2. 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.
3. 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.
4. 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.
5. 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 into 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!”)

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 appointments 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.