Join a pioneering team at MoldStud dedicated to revolutionizing mineral exploration through the power of artificial intelligence and cutting-edge sensor technology. We are seeking a highly skilled and motivated Data Scientist to contribute to our mission of discovering critical resources for a sustainable future. In this role, you will be instrumental in developing and deploying advanced predictive models that analyze complex geological, geophysical, and geochemical data, aiming to uncover significant ore-forming processes and predict high-grade mineralization across vast subterranean landscapes.

• Design, develop, and implement sophisticated predictive models using scientific computing, statistical, and physics-based methodologies to interpret Earth's subsurface.
• Build and maintain a comprehensive global dataset for exploration, focusing on the meticulous identification and quantification of data uncertainties and prediction confidence.
• Create and advance proprietary software tools to enhance exploration strategies and analytical capabilities.
• Curate, integrate, and analyze diverse datasets including geophysical surveys, geochemical assays, geological maps, and geographical information.
• Generate statistically robust predictions of compositional anomalies within the Earth's crust.
• Collaborate closely with geoscientists to translate data insights into actionable geological predictions, identify promising exploration targets, and inform the design of effective field programs.
• Effectively communicate complex findings and strategic recommendations to internal teams, external partners, and stakeholders.

• Extensive experience with Python and its core data science libraries (e.g., NumPy, SciPy, Pandas, Scikit-learn).
• Proficiency in general software engineering principles and practices.
• Demonstrated experience with collaborative software development workflows, including Git, unit testing, integration testing, and Continuous Integration/Continuous Deployment (CI/CD) pipelines.
• Proven experience utilizing cloud computing resources (e.g., AWS, GCP, Azure) for data analysis and model deployment.
• A strong foundation in applied statistics, Bayesian inference, and a deep understanding of various machine learning algorithms.
• The ability to independently conceptualize, scope, and implement innovative technical solutions for challenging exploration problems.
• A track record of intellectual rigor, with the capacity to rapidly absorb and synthesize complex information from diverse scientific domains.
• A natural curiosity and eagerness to explore new concepts, technologies, and scientific frontiers.
• Exceptional ability to effectively prioritize and manage multiple tasks in a dynamic environment.
• Experience with machine learning applied to geospatial data, geostatistics, image processing, or distributed computing applications is considered a valuable asset.

This is a full-time, exempt position operating under a remote-first workplace policy. We are committed to fostering an inclusive and diverse environment where innovation thrives. We welcome applications from candidates located anywhere, recognizing that talent knows no boundaries. Our team thrives on intellectual curiosity, a collaborative spirit, and a shared passion for solving complex problems that contribute to a more sustainable world.