Senior Underground Geology Expert (Ore Body Modeling)

Freeport-Mcmoran; Indonesia; Remote; IDR 2,737,726,000 - 3,832,816,000; Full time

Benefits offered by this job

Remote work flexibility

Competitive compensation

Health benefits

Performance-based bonus

Learning & development

Job summary

Freeport-McMoRan seeks a Remote Lead Data Scientist to lead ore body modeling initiatives within our mining portfolio. You will supervise a team of data scientists, collaborate with geologists and engineers, and drive data-driven resource estimation from a remote workspace.

The role emphasizes advanced ML, geostatistics, MLOps, and scalable data pipelines, with a focus on ethical data use, innovation, and high-impact modeling for mineral exploration and extraction.

Qualifications

• Master's or PhD in Data Science, Computer Science, Statistics, Geostatistics, or related quantitative field.
• 8+ years in data science, with at least 3 years in leadership or team management.
• Proven experience applying ML techniques (regression, classification, clustering, deep learning) to complex problems.
• Proficient in Python or R and libraries like TensorFlow, PyTorch, Scikit-learn.

Responsibilities

• Lead development and implementation of advanced ML algorithms for ore body characterization and predictive modeling.
• Design and oversee data pipelines for ingesting, cleaning, and transforming large-scale geological and mining datasets.
• Collaborate with geologists and mining engineers to translate business problems into data science solutions.
• Develop and validate statistical models for resource estimation, grade prediction, and mining optimization.
• Mentor and manage a remote data science team, fostering collaboration.
• Stay updated on data science advances and communicate findings via visualizations.
• Ensure ethical and responsible use of data, with privacy and security best practices.
• Contribute to strategic direction of data science within the organization.
• Implement and manage MLOps for model deployment, monitoring, and retraining.

Skills

Python

R

TensorFlow

PyTorch

Scikit-learn

Spark

Hadoop

AWS

Azure

GCP

SQL

NoSQL

Education

Master's or PhD in Data Science/CS/Statistics/Geostatistics

Tools

TensorFlow

PyTorch

Scikit-learn

Spark

Hadoop

AWS

Azure

GCP

Job description

Remote Lead Data Scientist - Ore Body Modeling

Our client, a forward-thinking entity within the mining industry, is seeking an exceptional Remote Lead Data Scientist to spearhead our advanced ore body modeling initiatives. This pivotal role is designed for a visionary leader who thrives on leveraging cutting-edge data science techniques to unlock deeper insights from vast geological datasets. Operating in a fully remote capacity, you will guide a team of talented data scientists and collaborate closely with geologists and engineers to develop sophisticated predictive models. This position offers the unique opportunity to shape the future of mineral resource estimation and extraction through data-driven innovation, all from the comfort of your chosen remote workspace ideally near Depok, West Java, ID or with a strong established remote work infrastructure. We are committed to fostering a remote-first culture, ensuring seamless collaboration and productivity regardless of physical location.

Key Responsibilities

• Lead the development and implementation of advanced machine learning algorithms for ore body characterization and predictive modeling.
• Design and oversee data pipelines for ingesting, cleaning, and transforming large-scale geological and mining datasets.
• Collaborate with domain experts (geologists, mining engineers) to define critical business problems and translate them into data science solutions.
• Develop and validate statistical models for resource estimation, grade prediction, and mining optimization.
• Mentor and manage a team of data scientists, fostering a collaborative and high-performing environment.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in the mining sector.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders through compelling visualizations and presentations.
• Ensure the ethical and responsible use of data, adhering to privacy and security best practices.
• Contribute to the strategic direction of data science within the organization.
• Implement and manage MLOps practices for model deployment, monitoring, and retraining.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Geostatistics, or a related quantitative field.
• 8+ years of experience in data science, with at least 3 years in a leadership or team management role.
• Demonstrated expertise in applying machine learning techniques (e.g., regression, classification, clustering, deep learning) to complex problems.
• Proficiency in programming languages such as Python or R and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Strong understanding of geostatistics and geological data is highly desirable.
• Excellent problem-solving, analytical, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to convey technical concepts to diverse audiences.
• Proven ability to lead projects and manage a remote team effectively.
• Experience with SQL and NoSQL databases.

Benefits

This is a fully remote position offering significant flexibility and autonomy. Our client provides a highly competitive salary, comprehensive health benefits package, and a generous performance-based bonus structure. You will be part of an innovative and globally recognized organization with ample opportunities for professional growth and career advancement. We support continuous learning through online courses, conference attendance, and internal knowledge-sharing sessions. Enjoy a vibrant virtual work culture, regular team-building activities, and access to the latest technological tools. Our client invests in its employees' well-being, offering resources for mental health support and work-life balance. This role allows you to make a substantial impact on the mining industry from anywhere, contributing to groundbreaking projects in ore body modeling and data-driven exploration.