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Jobs(29,763)/Data Scientist Role(276)/G2i Inc. (11) - Data Scientist
G2i Inc.

G2i Inc. - Data Scientist

Remote - Americas$140k - $140k1w ago
RemoteSeniorNACloud ComputingArtificial IntelligenceData ScientistPythonGCPProcess OptimizationMLOps

Requirements

• 5+ years of experience in Data Science, Machine Learning, or Applied AI • Strong Python and machine learning fundamentals • Experience building production ML systems and maintaining models over time • Google Cloud Platform (GCP) • Parquet-based data pipelines • Model monitoring and performance tracking • Strong statistical modeling and experimentation skills • Experience working with large operational or industrial datasets • Excellent communication skills and ability to collaborate with cross-functional teams • Strongly Preferred • Direct experience in mining, mineral processing, metallurgy, or mine-to-mill optimization • Understanding of: • Ore variability • Rock hardness and fragmentation • Flotation processes • Recovery optimization • Mill performance drivers • Production process analytics • Experience supporting multiple operational sites with varying geological conditions • Experience with time-series modeling and industrial process optimization • Knowledge of process control systems and industrial data platforms • Experience with predictive maintenance or optimization systems • Background in copper, gold, or base metals operations

Responsibilities

• 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-making • Design experiments and evaluate model performance in real operational environments • Contribute to MLOps and model monitoring practices for production systems

Benefits

• Competitive compensation (~USD $140,000/year, depending on experience) • Opportunity to work on cutting-edge AI applications in the mining industry • Small, highly technical team with direct impact on product and customer outcomes • Fast-moving hiring process

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