Remote Data Scientist - Resource Modeling
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About the Role
Our client is seeking a highly analytical and innovative Remote Data Scientist to join their globally distributed team, focusing on advanced resource modeling for mining operations. This fully remote position allows you to leverage big data, machine learning, and statistical modeling techniques to enhance the accuracy and efficiency of our mineral resource estimations. You will collaborate with geologists, engineers, and data analysts worldwide, contributing to data-driven decision-making that shapes our exploration and extraction strategies. This is a unique opportunity to work from anywhere, contributing to significant advancements in the mining industry using cutting-edge data science methodologies.
Key Responsibilities
- Develop, implement, and validate predictive models for mineral resource estimation and grade prediction.
- Utilize machine learning algorithms to identify patterns and correlations in large geological datasets.
- Clean, transform, and prepare diverse datasets for analysis, ensuring data integrity.
- Collaborate with cross-functional teams remotely to understand data needs and deliver actionable insights.
- Design and conduct A/B tests and other experiments to evaluate model performance and impact.
- Communicate complex findings and model methodologies clearly to both technical and non-technical audiences.
Requirements
- Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
- Minimum of 6 years of professional experience as a Data Scientist, with a significant portion focused on statistical modeling and machine learning .
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong experience with SQL and working with large, complex datasets.
- Familiarity with cloud computing platforms (AWS, Azure, GCP) and big data technologies.
- Excellent communication and collaboration skills, essential for a remote work environment .
Benefits
- Highly competitive salary and potential for remote performance bonuses.
- Comprehensive health, dental, and vision insurance plans.
- Generous home office setup allowance and remote work stipends.
- Flexible working hours and the ability to work from any location.
- Access to cutting-edge technology and professional development resources.
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