Remote Data Scientist - Mineral Analytics

About the Role

Our client is seeking a highly skilled Remote Data Scientist to join their innovative analytics team, focusing on mineral exploration and resource evaluation. This fully remote position offers the unique opportunity to leverage advanced data science techniques to unlock insights from vast geological and operational datasets. You will play a critical role in developing predictive models and analytical tools that drive better decision-making in resource identification and extraction. This role is ideal for a data-savvy professional who thrives in a flexible work environment and is passionate about applying data science to the complexities of the mining industry .

Key Responsibilities

• Develop, implement, and deploy machine learning models for mineral prospectivity mapping and resource estimation.
• Analyze large, complex datasets from geological surveys, drilling logs, and sensor data to identify trends and anomalies.
• Design and build data pipelines for efficient data ingestion, cleaning, and transformation.
• Collaborate with geologists, engineers, and business stakeholders to define analytical requirements and deliver actionable insights.
• Develop dashboards and visualizations to communicate findings effectively to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in the mining sector.

Requirements

• Ph.D. or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
• 5+ years of professional experience in data science, with a proven track record in building and deploying ML models.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and NoSQL databases, and big data technologies (e.g., Spark).
• Excellent data visualization skills using tools like Tableau, Power BI, or Python libraries.
• Experience working with geospatial data and geological datasets is highly desirable.

Benefits

• Competitive remote salary and potential for performance-based bonuses.
• Flexible working hours and the ability to work from anywhere.
• Comprehensive private health insurance and wellness programs.
• Generous budget for professional development, conferences, and online courses.
• A collaborative and forward-thinking remote work culture with regular virtual team events.