Remote Data Scientist - Predictive Mining Analytics

Placements24; Vereeniging; Híbrido; ZAR 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Dental insurance

Vision insurance

Fully remote work

Descripción de la vacante

Placements24 seeks a Remote Data Scientist to lead predictive analytics in mining. You will develop and deploy advanced machine learning models across exploration, production, safety, and environmental monitoring.

You will collaborate with geologists, engineers, and operations managers to translate data patterns into strategic insights and present findings to leadership. This fully remote role offers cutting-edge tools and flexible work arrangements.

Formación

• Master's or PhD in a quantitative field.
• 5+ years as a Data Scientist delivering impactful solutions.
• Strong Python or R with ML libraries.
• Experience with SQL/NoSQL and cloud platforms.

Responsabilidades

• Design and deploy predictive models using ML algorithms.
• Analyze large datasets from sensors, logs, surveys, and finance.
• Develop data pipelines for ingestion, cleaning, and feature engineering.
• Collaborate with domain experts to define project requirements and validate model performance.
• Create compelling data visualizations and dashboards for stakeholders.
• Stay current with advances in data science and mining tech.
• Contribute to data governance strategies and best practices.
• Present findings to cross-functional teams and senior leadership.
• Ensure ethical and responsible use of data.

Conocimientos

Python

R

Statistics

Data mining

Communication

Problem solving

Remote work

Educación

Master's or PhD in Data Science, CS, Statistics, Engineering, or related quantitative field

Herramientas

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

SQL

NoSQL

AWS

Azure

GCP

Descripción del empleo

About the Role

Our client, a forward-thinking leader in **mining** technology and operations, is seeking an exceptional Remote Data Scientist to spearhead their predictive analytics initiatives. This role is entirely remote, offering the flexibility to work from anywhere within **Vereeniging, Gauteng, ZA**, or beyond, provided you have a stable internet connection. You will be instrumental in developing and deploying advanced machine learning models and statistical techniques to extract actionable insights from vast datasets related to exploration, production, safety, and environmental monitoring. This is a unique opportunity to leverage cutting-edge data science methodologies to drive efficiency, reduce risk, and unlock new value across our client's global mining operations. You will collaborate closely with geologists, engineers, and operations managers, translating complex data patterns into strategic recommendations that inform decision-making and shape the future of mining. If you are passionate about applying data science to solve real-world challenges in a critical industry, this role is for you.

Key Responsibilities

• Design, develop, and implement predictive models using machine learning algorithms (e.g., regression, classification, clustering, time series forecasting) for various mining applications.
• Analyze large, complex datasets from sensors, operational logs, geological surveys, and financial records to identify trends, anomalies, and optimization opportunities.
• Develop and maintain data pipelines for data ingestion, cleaning, transformation, and feature engineering.
• Collaborate with domain experts to define project requirements, test hypotheses, and validate model performance.
• Create compelling data visualizations and dashboards to communicate findings and insights to technical and non-technical stakeholders.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence relevant to the mining industry.
• Contribute to the development of data governance strategies and best practices for data management.
• Present research findings and model outcomes to cross-functional teams and senior leadership.
• Ensure the ethical and responsible use of data in all analytical endeavors.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with a proven track record of delivering impactful data-driven solutions.
• Strong proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Experience with SQL and NoSQL databases, and familiarity with cloud platforms (e.g., AWS, Azure, GCP).
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Excellent analytical and problem-solving skills, with a keen attention to detail.
• Ability to communicate complex technical concepts effectively to diverse audiences.
• Experience in the **mining** or natural resources sector is a significant plus.
• Must be comfortable working independently in a remote, asynchronous team environment.

Benefits

This role offers a highly competitive salary, performance-based incentives, and a comprehensive remote benefits package including health, dental, and vision insurance. Enjoy the flexibility and autonomy of a fully remote position, eliminating commute time and offering a superior work-life balance. Our client provides access to state-of-the-art tools, continuous learning opportunities, and a collaborative virtual environment. Be at the forefront of innovation in **mining** analytics. This position is based remotely, with consideration for candidates in or near **Vereeniging, Gauteng, ZA**, but open to qualified individuals across regions.