Remote Data Scientist - Predictive Analytics in Mining

Placements24; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote

Health insurance

Retirement plan

Professional development opportunities

Job summary

Placements24 is seeking an experienced Data Scientist for a fully remote role focused on developing and deploying predictive models to optimize mining operations across global sites. You will work with large, diverse datasets and collaborate with geologists, engineers, and operations managers to translate data into actionable insights.

The ideal candidate holds a Master's or PhD in a quantitative field, 5+ years of experience, and strong Python or R skills with libraries such as scikit-learn,

Qualifications

• Master's or Ph.D. in a quantitative field (Data Science, Statistics, CS, or Engineering).
• Minimum of 5 years as a Data Scientist with proven predictive modeling experience.
• Proficiency in Python or R and libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas.

Responsibilities

• Design, develop, and deploy predictive models for maintenance, forecasting, and resource estimation.
• Analyze large, diverse mining datasets to identify trends and actionable insights.
• Build data pipelines and prepare data for advanced analytics and modeling.
• Collaborate with engineers, geologists, and operations to define problems and deliver data-driven solutions.
• Create dashboards and reports to visualize model outputs and KPIs.

Skills

Python

R

Scikit-learn

TensorFlow

PyTorch

Pandas

SQL

Big Data

Education

Master's or Ph.D. in Data Science, Statistics, CS, Engineering

Tools

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client, a forward-thinking leader in the mining technology space, is actively seeking a talented and experienced Data Scientist to join their innovative team on a fully remote basis. This role focuses on developing and deploying sophisticated predictive models to optimize various aspects of mining operations, from resource exploration and extraction efficiency to safety and equipment maintenance. Leveraging vast datasets generated from operational sites worldwide, you will uncover insights and build solutions that drive significant improvements in productivity and cost reduction. The ideal candidate will possess a strong foundation in statistical modeling, machine learning, and data mining techniques, coupled with a passion for applying these skills to the unique challenges of the mining industry. You will work autonomously, collaborating with geologists, engineers, and operational managers across different time zones, making this a truly global and impactful position.

Key Responsibilities

• Design, develop, and implement machine learning models for predictive maintenance, operational forecasting, and resource estimation.
• Analyze large and complex datasets from diverse mining operations to identify trends, patterns, and actionable insights.
• Clean, process, and transform raw data into formats suitable for advanced analytics and modeling.
• Build and maintain data pipelines for efficient data ingestion and model deployment.
• Collaborate with cross-functional teams (engineers, geologists, operations) to define problem statements and deliver data-driven solutions.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical stakeholders.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence relevant to the mining sector.
• Develop dashboards and reports to visualize key performance indicators and model outputs.
• Contribute to the development of a data-centric culture within the organization.
• Ensure the ethical and responsible use of data in all analytical endeavors.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
• Minimum of 5 years of professional experience as a Data Scientist, with a proven track record of building and deploying predictive models.
• Proficiency in programming languages such as Python or R and associated data science libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Pandas).
• Strong experience with SQL and database management.
• Expertise in statistical modeling, machine learning algorithms (regression, classification, clustering, deep learning), and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services is advantageous.
• Excellent problem-solving skills and the ability to work independently in a remote setting.
• Strong communication and presentation skills.
• Understanding of the mining industry's operational processes is highly desirable.

Benefits

• Our client offers a highly competitive salary, commensurate with your experience and skills, and the flexibility of a fully remote work arrangement.
• Benefits include a comprehensive health insurance plan, a generous retirement savings contribution, and opportunities for professional development through online courses and certifications.
• We foster a collaborative and innovative remote work environment, encouraging continuous learning and knowledge sharing.
• You will have the opportunity to work on cutting-edge projects that directly impact the global mining industry from the comfort of your own home.
• Join us and redefine the future of data science in mining.