Remote Data Scientist - Predictive Analytics in Mining

Placements24; Willows (CA); Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Remote-friendly work

Health insurance

Retirement plan

Professional development

Job summary

Placements24 is seeking an experienced Data Scientist for a fully remote role in the mining technology space. You will develop and deploy predictive models to optimize resource exploration, extraction efficiency, safety and maintenance across global operations.

You will work with geologists, engineers, and managers across time zones, building scalable data solutions and dashboards while staying current with ML advancements in mining. Strong communication is essential.

Qualifications

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

Responsibilities

• Design and deploy ML models for predictive maintenance and operations.
• Analyze large datasets from diverse mining operations to extract insights.
• Build data pipelines and ensure clean data for analytics.
• Collaborate with engineers, geologists, and operators across time zones.
• Create dashboards and reports to visualize KPIs and model outputs.
• Communicate findings clearly to technical and non-technical stakeholders.
• Keep up with ML and AI advances applicable to mining.
• Ensure ethical, responsible use of data in analyses.
• Contribute to a data-centric culture within the company.

Skills

Python

R

Scikit-learn

TensorFlow

PyTorch

Pandas

SQL

Statistical modeling

Machine learning

Data mining

Big data

Spark

Hadoop

Cloud platforms

Education

Master's in Data Science/Statistics/CS/Engineering

Ph.D. (preferred)

Tools

TensorFlow

PyTorch

Scikit-learn

Spark

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.