Remote Senior Data Scientist - Mining Analytics

About the Role

Join our client, a globally recognized leader in the mining sector , as a Remote Senior Data Scientist . This is a fully remote position, offering you the flexibility to work from anywhere while contributing to groundbreaking advancements in mining analytics. You will be at the forefront of leveraging vast datasets to drive operational efficiency, predictive maintenance, resource optimization, and enhanced safety protocols across our client's international operations. This role demands a deep understanding of statistical modelling, machine learning, and data visualization techniques applied specifically to the complexities of the mining industry. You will collaborate with a diverse team of geologists, engineers, and data professionals, transforming raw data into actionable insights that shape the future of mining. Your work will directly impact strategic decision-making and contribute to sustainable and profitable mining practices. We are seeking an innovative thinker who is passionate about extracting value from complex data landscapes.

Key Responsibilities

• Develop and implement advanced machine learning models for predictive maintenance, production forecasting, and resource estimation.
• Analyze large, complex datasets from various sources including sensors, operational logs, and geological surveys to identify trends and opportunities.
• Design and build robust data pipelines for data ingestion, cleaning, transformation, and feature engineering.
• Create compelling data visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
• Collaborate closely with domain experts (geologists, engineers) to understand challenges and translate them into data science problems.
• Design and execute A/B tests and other experiments to validate hypotheses and model performance.
• Mentor junior data scientists and contribute to the development of a data-driven culture within the organization.
• Stay current with the latest research and advancements in data science, machine learning, and their applications in the mining industry.
• Ensure data quality, integrity, and adherence to privacy and security standards.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field.
• 5+ years of experience as a Data Scientist, with a proven track record of delivering impactful solutions.
• Strong expertise in Python or R, including relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Proficiency in SQL and experience working with large databases and data warehousing solutions.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
• Demonstrated experience in applying machine learning techniques to real-world problems, preferably within the mining or heavy industry .
• Excellent analytical, problem-solving, and critical thinking skills.
• Superb communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
• Must be comfortable working independently and collaboratively in a remote setting.

Benefits

• Highly competitive salary package.
• Full remote work flexibility, allowing you to work from anywhere.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Annual professional development budget for training, conferences, and certifications.
• Company-provided equipment and home office setup stipend.
• Opportunity to work on impactful projects with leading technology in the mining sector.
• Collaborative and innovative remote team culture.

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