Company
Mining
DataScientist-Latamonly!
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Scientist - Latam only!. Skills: Machine learning, Data science, MLOps, Optimization. Build machine learning models. Deploy machine learning models”
What You'll Achieve.
Improve plant performance; Improve recovery; Improve production outcomes
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
5+ years experience, Python, Machine learning fundamentals, Production ML systems experience, Model maintenance experience, Google Cloud Platform experience, BigQuery experience, Parquet-based data pipelines, Model monitoring experience, Performance tracking experience, Statistical modeling skills, Experimentation skills, Large operational datasets experience, Excellent communication skills, Ability to collaborate
Nice to Have
Mining industry experience, Mineral processing experience, Metallurgy experience, Mine-to-mill optimization experience, Ore variability understanding, Rock hardness understanding, Fragmentation understanding, Flotation processes understanding, Recovery optimization understanding, Mill performance drivers understanding, Production process analytics understanding, Multiple operational sites experience, Time-series modeling experience, Industrial process optimization experience
What You'll Do.
Build machine learning models
Deploy machine learning models
Improve machine learning models
Analyze mining datasets
Identify operational opportunities
Develop predictive models
Monitor model performance
Translate business challenges
Support production decision-making
Evaluate model performance
Contribute to MLOps practices
Contribute to model monitoring
How You'll Work.
Team & Collaboration
Domain experts; Engineering teams; Mining engineers; Metallurgists; Operations teams
Communication Scope
Excellent communication skills
Full Job Description
DATA SCIENTIST (MACHINE LEARNING FOR MINE-TO-MILL OPTIMIZATION) REMOTE | SOUTH AMERICA PREFERRED (CHILE, PERU, BRAZIL, ARGENTINA) | DIRECT HIRE We're partnering with an innovative AI company transforming mining operations through machine learning and advanced analytics. Their platform helps mining companies optimize the entire mine-to-mill process, improving recovery, throughput, and operational efficiency through data-driven decision making. The company specializes in applying AI to real-world mining challenges and building production-grade models that continuously evolve as operating conditions change. ABOUT THE ROLE We're looking for a Data Scientist with strong machine learning expertise and practical mining industry experience to help build and improve predictive models used across mining and mineral processing operations. This is not a "train once and deploy" environment. You'll develop and maintain models that continuously adapt to changing geological conditions, ore variability, and operational differences across multiple mine sites. You'll work closely with domain experts and engineering teams to deliver measurable improvements in plant performance, recovery, and production outcomes. Mining operations often require ongoing model monitoring and adaptation because ore characteristics and process conditions evolve over time. WHAT YOU'LL DO - Build, deploy, and improve machine learning models for mine-to-mill optimization - Analyze large-scale mining and processing datasets to identify operational improvement opportunities - Develop predictive models related to ore characteristics, fragmentation, recovery, flotation, throughput, and plant performance - Monitor model performance and address model drift across sites and changing geological conditions - Partner with mining engineers, metallurgists, and operations teams to translate business challenges into ML solutions - Work with structured and unstructured industrial datasets to support production decision-makin
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