Remote Principal Data Scientist - Mining Analytics

Placements24; Kimberley; Hybrid; CAD 211,000 - 324,000; Full time

Benefits offered by this job

Competitive salary

Performance-based bonus

Remote work

Benefits package

Professional development

Job summary

Placements24 is seeking a Principal Data Scientist for a fully remote role focusing on mining analytics. You will lead development and deployment of ML models, analyze large datasets from sensors and operations, and drive predictive maintenance and production optimization across global mining sites.

You will mentor junior data scientists, collaborate with engineers, geologists, and operations managers, design experiments, build dashboards, and stay ahead of ML/AI advances while ensuring ethical

Qualifications

• 10–12 years of data science experience with emphasis on ML and predictive modeling.
• Proven application of data science in mining, oil & gas, or heavy manufacturing.
• Expert in Python or R with libraries like scikit-learn, TensorFlow, PyTorch.

Responsibilities

• Lead design, development, and deployment of ML models for mining analytics.
• Analyze large, complex datasets from sensors, logs, and geological sources.
• Develop predictive models for equipment failure, production optimization, safety, and resource management.

Skills

Leadership

Mentoring

Communication

Education

Master's or PhD in a quantitative field

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

Pandas

SQL

NoSQL

Spark

Hadoop

AWS

Azure

GCP

MLOps

Job description

About the Role

Our client, a global leader in mining technology and innovation, is seeking a highly accomplished Principal Data Scientist to join their cutting-edge analytics team. This role is fully remote, offering the flexibility to work from anywhere. You will be instrumental in developing and implementing advanced data science solutions to drive operational excellence, predictive maintenance, and resource optimization across diverse mining operations worldwide. The ideal candidate possesses a deep expertise in machine learning, statistical modeling, and big data technologies, with a proven track record of applying these skills to solve complex challenges in the mining or heavy industry sectors. You will lead complex data-driven projects, mentor junior data scientists, and collaborate closely with stakeholders to translate business needs into actionable insights. This is an exceptional opportunity to shape the future of mining analytics and make a significant impact from a remote setting. We are looking for a visionary leader with a passion for data and a strategic mindset. Your contributions will directly influence operational efficiency and profitability on a global scale. The company champions a culture of innovation and continuous learning.

Key Responsibilities

• Lead the design, development, and deployment of sophisticated machine learning models and algorithms for mining analytics.
• Analyze large, complex datasets from various sources (e.g., sensors, operational logs, geological data) to identify trends, patterns, and actionable insights.
• Develop predictive models for equipment failure, production optimization, safety, and resource management.
• Collaborate with cross-functional teams, including engineers, geologists, and operations managers, to understand business requirements and translate them into data science solutions.
• Mentor and guide junior data scientists, promoting best practices in data analysis, modeling, and software development.
• Design and conduct A/B tests and other experiments to validate model performance and impact.
• Develop data visualization dashboards and reports to communicate complex findings to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, and explore their application in the mining industry.
• Ensure the ethical and responsible use of data and AI technologies.

Requirements

• Master's or PhD in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Minimum of 10-12 years of experience in data science, with a significant focus on machine learning and predictive modeling.
• Proven experience in applying data science techniques to solve real-world problems in the mining, oil & gas, or heavy manufacturing industries.
• Expert proficiency in programming languages such as Python or R, and relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Strong experience with SQL and NoSQL databases, as well as big data technologies (e.g., Spark, Hadoop).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to explain complex technical concepts clearly.
• Demonstrated leadership experience and ability to mentor teams.

Benefits

• Our client offers a highly competitive salary, commensurate with experience, and a performance-based bonus structure.
• Comprehensive benefits package including excellent health coverage, retirement plan, and generous paid time off.
• This is a fully remote position, offering unparalleled flexibility and work-life balance.
• Opportunities for professional development, attending industry conferences, and continuous learning.
• Be part of a forward-thinking company that is revolutionizing the mining industry through data and AI.
• Join a globally distributed, highly skilled, and collaborative team.