About the Role
Our client, a forward-thinking organization within the Mining technology space, is seeking a highly skilled Senior Data Scientist to join their innovative team. This is a fully remote position, offering the flexibility to work from anywhere within the US. You will be instrumental in leveraging vast datasets to develop sophisticated predictive models that drive operational efficiency, resource exploration, and risk management across the mining lifecycle. The ideal candidate possesses a deep expertise in machine learning, statistical analysis, and data visualization, coupled with a strong passion for solving complex problems with data. You will collaborate closely with geologists, engineers, and business stakeholders to translate data insights into tangible business value. This role requires a proactive self-starter who thrives in an independent, remote work environment and is eager to push the boundaries of data science application in the mining industry.
Key Responsibilities Design, develop, and deploy advanced machine learning models for predictive analytics, forecasting, and optimization. Extract, clean, and transform large, complex datasets from various sources (e.g., geological surveys, sensor data, operational logs). Conduct exploratory data analysis to identify trends, patterns, and actionable insights. Develop and maintain robust data pipelines and workflows. Visualize and communicate complex findings and recommendations to both technical and non-technical audiences. Collaborate with cross-functional teams to define project requirements and deliver data-driven solutions. Stay abreast of the latest advancements in data science, machine learning, and AI. Mentor junior data scientists and contribute to the team's knowledge base. Ensure data quality, integrity, and security across all projects. Contribute to the strategic direction of data science initiatives within the organization. Requirements Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Minimum of 6 years of professional experience in data science, with a strong emphasis on predictive modeling and machine learning. Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch). Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases. Solid understanding of statistical modeling, hypothesis testing, and experimental design. Proven ability to manage end-to-end data science projects from conception to deployment. Excellent communication, presentation, and interpersonal skills. Demonstrated ability to work effectively in a remote, collaborative team environment. Experience in the mining or natural resources sector is highly desirable. Strong problem-solving skills and a curious, analytical mindset. Benefits
Our client offers a highly competitive salary, excellent health, dental, and vision benefits, a generous 401(k) retirement plan with employer match, unlimited paid time off, and significant opportunities for professional growth and learning. As a fully remote position, you benefit from the flexibility and autonomy of working from home.