Remote Senior Data Scientist - Mining Analytics

Our client is seeking a highly skilled and experienced Senior Data Scientist to join their dedicated analytics team, working entirely remotely. In this role, you will leverage advanced machine learning and statistical modeling techniques to extract actionable insights from vast datasets generated by their global mining operations. You will be instrumental in driving data-informed decision-making across exploration, production, and operational efficiency.

This is an exceptional opportunity for a self-motivated data scientist to make a significant impact on the future of mining from anywhere in the world.

• Develop and deploy sophisticated predictive models for resource exploration, production forecasting, and equipment maintenance.
• Analyze large, complex datasets to identify trends, patterns, and optimization opportunities within mining processes.
• Collaborate with geologists, engineers, and operations managers to translate business problems into data science solutions.
• Design and implement A/B tests and experiments to validate model performance and business impact.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.

• Master's or PhD in Data Science, Computer Science, Statistics, or a related quantitative field.
• 8+ years of professional experience as a Data Scientist, with a strong focus on machine learning and statistical modeling.
• Proficiency in Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, Num Py, Scikit-learn).
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
• Strong understanding of data warehousing, ETL processes, and database management.

• Highly competitive remote salary with annual bonus potential.
• Comprehensive health, dental, and vision insurance for remote employees.
• Generous home office stipend and flexible working hours.
• Significant opportunities for professional development and attending virtual conferences.
• A collaborative, innovative, and globally distributed team environment.