Data Scientist, Mine-to-Mill Optimization

The Recruitment Opportunity! KGHM International Ltd., headquartered in Vaughan, Ontario, is the Canadian subsidiary of KGHM Polska Miedź S.A., one of the world’s largest producers of copper and silver. KGHM International has operations across North America and engages in exploration and development projects to expand its resource base, reinforcing its role as a global leader in mining and metallurgy. With a strong commitment to sustainability and community engagement, KGHM International, integrates environmental stewardship with advanced mining technologies and collaborates closely with Indigenous communities through impact and benefit agreements. These partnerships ensure respect for Indigenous rights and cultural heritage while promoting shared economic benefits. Through investments in infrastructure, exploration, and social responsibility programs, KGHM International continues to strengthen its role as a responsible mining leader committed to innovation, efficiency, and long-term value creation. Our culture is underpinned by our values - zero harm, teamwork, results-driven, accountability, and courage. These values are deeply rooted convictions which guide our day-to-day behaviours and form the organisation's DNA. Our values are a lodestar for all our action and facilitate the decision-making process of today and build long-term strategies of the future. Division: KGHM International Available Job Opportunity: Data Scientist, Mine-to-Mill Optimization Location: Ely, Nevada The Opportunity The Data Scientist, Mine-to-Mill Optimization develops, tests and improves the predictive, prescriptive and machine learning (ML) models that support ore tracking, blending decisions, plant recommendations and impact measurement. Reporting to the Senior Manager, Risk & Compliance, this full-time position is responsible for preparing analytical datasets, performing exploratory analysis, building and validating ML models, supporting optimization models, and providing clear analytical documentation. This position plays a key role in ensuring analytical models remain accurate, scalable, and responsive to changing ore characteristics and operating conditions. The position is based at our Robinson Mine in Ely, Nevada, We offer a hybrid work arrangement that provides flexibility to work from home, with an expectation of regular on-site collaboration, particularly during the initial stages of the role. What You’ll Do Prepare analytical datasets and perform exploratory analysis of geological, fleet, stockpile, laboratory and plant-process data. Build and validate ML models for throughput, recovery, quality and other agreed operational outcomes. Develop feature-engineering logic, segmentation, anomaly treatment and model explanations. Support optimization models and what-if scenarios using operational constraints and site priorities. Run offline tests, passive tests and controlled production trials with operations and metallurgy. Monitor model accuracy, recommendation acceptance, realized impact and changing process conditions. Investigate performance deterioration and implement approved model improvements. Create clear analytical documentation and train KGHMI users and technical support staff. Other duties as assigned. What You’ll Bring Degree in data science, engineering, statistics, applied mathematics, computer science or a related field. 7+ years experience working in a similar Data Scientist role Hands-on Python and SQL experience, including supervised learning, time-series analysis and model evaluation. Experience with industrial process data, sensor data, optimization or operational decision-support systems is preferred. Understanding of data leakage, bias, confidence intervals, baselines and causal or quasi-experimental impact measurement. Ability to work directly with engineers, metallurgists and operators and convert domain knowledge into model features and constraints. Practical experience using source control, reproducible pipelines and model-tracking tools. Previous experience working in the Mining industry required. At KGHM International, we value diverse perspectives and experiences. If you’re excited about this role but don’t meet every listed requirement, we encourage you to apply. Skills can be developed, and we believe in supporting growth and potential. Your unique background could be exactly what we need.

What We Offer

We believe that rewarding our employees goes beyond base pay. Our Total Rewards Program is designed to recognize your contributions, support your well-being, and help you grow professionally and personally. This holistic approach supports your financial security, health, and career aspirations. Competitive Compensation Market-aligned base salary Performance-based Incentive awards Comprehensive Benefits Health, dental, and vision coverage Life and disability insurance Employee Assistance Program (EAP) for mental health and personal support RRSP matching Work-Life Balance Generous paid time off and holidays Flexible work arrangements (hybrid/remote options) Free on-site parking Casual Dress Professional Development Tuition reimbursement for continuous learning On job training and support Opportunities for global mobility Supportive Work Environment Respectful and responsible work environment A culture of safety, integrity, and sustainability Values that support teamwork and collaboration Compensation for this position is determined by experience and alignment with role requirements and typically ranges from $140,000 to $170,000. This role is also eligible for performance-based incentive awards.

How to Apply

Apply via Indeed or submit your resume and cover letter via email to [email protected] All applications are reviewed by the Human Resources team, and no AI or automated tools are used to screen, assess, or select applicants. Application deadline: open until filled. Inclusion, Accessibility & Accommodations If you require accommodations during the recruitment or selection process, please let us know. We are happy to provide support - contact for assistance. We are committed to building a diverse workforce and fostering an inclusive, people-first culture where everyone feels valued and respected. As an equal opportunity employer, we do not discriminate on any protected basis under applicable law.

Benefits

Dental insurance Employee assistance program Flexible schedule Life insurance Paid time off Tuition reimbursement Vision insurance Experience: Data Scientist: 7 years (Preferred) Work Location: Hybrid remote in Salt Lake City, UT 84116