Remote Data Scientist - Mining Analytics

About the Role

Our client is seeking a talented and innovative Remote Data Scientist to join their advanced analytics team, focusing on the mining industry . This fully remote position allows you to leverage vast datasets to uncover insights, build predictive models, and drive data-informed decision-making across exploration, operations, and resource management. You will work with cutting-edge tools and technologies, collaborating virtually with geologists, engineers, and business analysts worldwide. This role is ideal for a self-motivated professional who excels in a remote setting and is passionate about applying data science techniques to solve complex problems in the mining sector, contributing to efficiency and discovery.

Key Responsibilities

• Develop and implement machine learning models and statistical analyses to predict mineral grades, equipment failures, and operational efficiencies.
• Clean, process, and analyze large, complex datasets from various mining sources (geological, operational, sensor data).
• Design and build data visualizations and dashboards to communicate key findings to technical and non-technical stakeholders.
• Collaborate with cross-functional teams to define data requirements and identify opportunities for data-driven improvements.
• Stay current with the latest advancements in data science, machine learning, and their applications in the mining sector.
• Contribute to the development of a company-wide data strategy and best practices for data management and analysis.

Requirements

• Master's degree or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
• Minimum of 5 years of professional experience in data science, with a proven track record of delivering impactful analytical solutions.
• Strong programming skills in Python or R, including libraries for data manipulation, machine learning, and visualization.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Excellent communication and collaboration skills, with the ability to work effectively in a distributed team environment.

Benefits

• Highly competitive remote salary and performance bonuses.
• Flexible working hours and the ability to work from anywhere.
• Comprehensive health, dental, and vision insurance plans.
• Generous home office setup allowance and professional development budget.
• Opportunity to work on challenging and impactful projects in the global mining industry.