Remote Exploration Data Scientist - AI/ML Focus

Placements24; Willows (CA); Híbrido; USD 120.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote role

Competitive salary

Descripción de la vacante

Placements24 is seeking a remote Exploration Data Scientist to join a globally distributed team revolutionizing mineral exploration with AI/ML. You will design and deploy models to analyze vast geological datasets, uncover patterns indicating deposits, and work across disciplines to translate geological concepts into data science problems.

The ideal candidate has 5+ years in data science, strong Python and ML library expertise, and familiarity with geoscience data.

Formación

• Master's or Ph.D. in data science, statistics, geophysics or related quantitative field with strong AI/ML component.
• 5+ years of professional data science experience applying AI/ML to complex problems.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn.

Responsabilidades

• Design, develop, and deploy ML models for mineral prospectivity mapping and target generation.
• Process, clean, and integrate large geological, geochemical, and geophysical datasets.
• Build robust data pipelines for data ingestion, transformation, and feature engineering.
• Collaborate with geologists, geophysicists, and exploration managers to translate domain concepts into data science problems.
• Visualize complex results in reports and dashboards for technical and non-technical stakeholders.
• Stay current with AI/ML advances and apply them to exploration data.
• Implement model validation, deployment, monitoring, and version control in cloud environments.
• Contribute to the company's data strategy and exploration technology roadmap.
• Mentor junior data scientists and foster a data-driven culture.

Conocimientos

Python

ML algorithms

Geospatial analysis

Remote collaboration

Educación

Master's/Ph.D. in Data Science or related

Herramientas

TensorFlow

PyTorch

Scikit-learn

GeoPandas

Descripción del empleo

About the Role

Our client, a forward-thinking mining and exploration company, is revolutionizing the way we discover resources through cutting-edge data science and artificial intelligence. We are seeking a highly skilled and innovative Remote Exploration Data Scientist with a strong focus on AI/ML to join our globally distributed team. This role is entirely remote, offering the flexibility to work from anywhere. You will be instrumental in developing and deploying machine learning models to analyze vast geological, geochemical, and geophysical datasets, identifying subtle patterns that indicate potential mineral deposits. The ideal candidate possesses a deep understanding of machine learning algorithms, statistical modeling, and their application to complex geospatial and temporal data. If you are passionate about leveraging AI to unlock the secrets of the Earth and drive exploration success, this is the perfect opportunity for you.

Key Responsibilities

• Design, develop, and implement advanced machine learning models (e.g., deep learning, supervised/unsupervised learning, reinforcement learning) for mineral prospectivity mapping and target generation.
• Process, clean, and integrate large, diverse datasets including geological maps, drillhole data, geophysics, geochemistry, remote sensing imagery, and historical exploration results.
• Develop and maintain robust data pipelines for efficient data ingestion, transformation, and feature engineering.
• Collaborate closely with geologists, geophysicists, and exploration managers to understand their needs and translate geological concepts into data science problems.
• Visualize and communicate complex analytical results to both technical and non-technical stakeholders through clear reports, dashboards, and presentations.
• Stay current with the latest research and advancements in AI/ML, data science, and their applications in the geosciences.
• Develop and implement best practices for model validation, deployment, monitoring, and version control in a cloud environment.
• Contribute to the development of the company's data strategy and exploration technology roadmap.
• Automate repetitive tasks and workflows related to data analysis and model development.
• Mentor junior data scientists and contribute to building a strong data-driven culture within the exploration teams.

Requirements

• Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Geophysics, or a related quantitative field with a strong AI/ML component.
• 5+ years of professional experience in data science, with a proven track record of applying AI/ML techniques to complex problems.
• Expert proficiency in Python and relevant data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, GeoPandas).
• Experience with cloud computing platforms (AWS, Azure, GCP) and associated ML services.
• Strong understanding of geological and geophysical concepts, and experience applying data science to the resource sector is a significant advantage.
• Proficiency in SQL and experience with database management.
• Familiarity with geospatial data analysis and visualization tools.
• Excellent problem-solving, analytical, and critical thinking skills.
• Exceptional communication and collaboration skills, with the ability to work effectively in a remote, international team environment.
• Demonstrated ability to work independently, manage multiple projects, and deliver high-quality results in a fast-paced setting.

Benefits

• This is a fully remote position offering the ultimate flexibility. Our client provides a highly competitive salary package, benchmarked against global industry standards, plus performance-based bonuses.
• Employees receive comprehensive health benefits, generous paid time off, and a home office setup allowance.
• Opportunities for continuous learning, conference attendance, and professional growth in the cutting-edge field of AI in exploration are abundant.
• Join a collaborative and innovative team that is shaping the future of mining exploration from anywhere in the world.