Remote Senior Data Scientist - Mining Analytics

About the Role

Our client is seeking a highly skilled Senior Data Scientist to join their innovative team, working remotely to support their mining operations. In this role, you will leverage advanced analytics, machine learning, and statistical modeling to extract valuable insights from vast datasets related to exploration, production, safety, and environmental impact. You will play a key part in developing data-driven strategies to optimize resource extraction, improve operational efficiency, and enhance safety protocols across their global mining portfolio. This is an exceptional opportunity to work from anywhere while contributing to cutting-edge data science applications in the mining industry.

Key Responsibilities

• Develop and deploy machine learning models for predictive maintenance, production forecasting, and ore grade estimation.
• Design and implement statistical analysis frameworks to identify trends and patterns in operational data.
• Collaborate with geologists, engineers, and operations managers to understand data needs and translate business problems into analytical solutions.
• Build data visualizations and dashboards to communicate complex findings to both technical and non-technical stakeholders.
• Explore and integrate diverse data sources, ensuring data quality and integrity.
• Stay abreast of the latest advancements in data science, AI, and machine learning relevant to the mining sector.

Requirements

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with a strong focus on machine learning and statistical modeling.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Proven ability to work independently and manage projects in a remote setting.
• Excellent communication and presentation skills.

Benefits

• Highly competitive salary and performance-based bonuses.
• Flexible remote work environment with full autonomy.
• Comprehensive health, dental, and vision insurance.
• Generous professional development budget and conference attendance allowance.
• Opportunity to work on impactful projects that shape the future of mining technology.

#J-18808-Ljbffr

Full job description from WhatJobs. Apply for this role →