Remote Data Scientist - Predictive Analytics for Mining Operations

Placements24; Mtubatuba Local Municipality; Híbrido; ZAR 900.000 - 1.300.000; Tempo integral

Benefícios oferecidos por esta vaga

Competitive salary

Remote stipend

Home office setup allowance

Flexible working hours

Professional development opportunities

Resumo da vaga

Placements24 is partnering with a global mining leader to recruit a Remote Data Scientist focused on predictive analytics. You will design, train, and deploy ML models to forecast equipment failures, optimize production, and assess risk using large, diverse datasets.

This fully remote role offers a vibrant virtual team environment, powerful data pipelines, and opportunities to influence safety and efficiency across global operations.

Qualificações

• Master’s or Ph.D. in Data Science, CS, Statistics, Mathematics, or related field.
• 5+ years of data science experience with predictive modeling.
• Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and R.
• SQL proficiency; experience with big data (Spark, Hadoop).
• Strong foundation in statistical modeling, ML algorithms, and DL concepts.
• Experience with data visualization tools (Tableau, Power BI).
• Excellent problem-solving and communication skills; able to explain complex findings.
• Ability to work independently and collaboratively in a remote, global team.

Responsabilidades

• Develop, train, and deploy machine learning models for predictive maintenance, production optimization, and risk assessment in mining.
• Analyze large datasets from sensors, logs, and geological surveys using advanced statistical techniques.
• Design and implement data mining strategies to identify patterns and anomalies.
• Build and maintain data pipelines for extracting, transforming, and loading data.
• Develop dashboards and visualizations to communicate insights and model performance to stakeholders.
• Collaborate with geologists, engineers, and operations managers to translate business problems into data science solutions.
• Stay current with ML/AI advancements and assess applicability to mining operations.
• Contribute to a data-driven culture and ensure ethical use of data and AI.

Conhecimentos

Python

R

SQL

Spark

Hadoop

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Formação

Master’s or PhD in Data Science / CS / Statistics

Ferramentas

Tableau

Power BI

Descrição da vaga

About the Role

Our client, a global leader in the mining sector, is looking for a talented and innovative Remote Data Scientist specializing in predictive analytics to join their cutting-edge digital transformation initiative. This fully remote position allows you to leverage your expertise in machine learning, statistical modeling, and data mining to unlock actionable insights from vast datasets generated by our mining operations worldwide. You will be instrumental in developing sophisticated models to forecast equipment failures, optimize production processes, enhance safety protocols, and predict geological events. The role requires a deep understanding of data science principles, strong programming skills, and a passion for solving complex challenges within the mining industry. This is a unique opportunity to work from anywhere while making a tangible impact on operational efficiency and decision-making at a global scale. We are seeking a self-motivated individual who can thrive in a virtual team environment and drive data-driven innovation.

Key Responsibilities

• Develop, train, and deploy machine learning models for predictive maintenance, production optimization, and risk assessment in mining.


• Analyze large and complex datasets from various sources (e.g., sensor data, operational logs, geological surveys) using advanced statistical techniques.


• Design and implement data mining strategies to identify patterns, trends, and anomalies.


• Build and maintain data pipelines for extracting, transforming, and loading data.


• Develop dashboards and visualizations to communicate insights and model performance to technical and non-technical stakeholders.


• Collaborate with domain experts (geologists, engineers, operations managers) to define business problems and translate them into data science solutions.


• Stay current with the latest advancements in data science, machine learning, and AI, and assess their applicability to mining operations.


• Contribute to the development of a data-driven culture within the organization.


• Ensure the ethical and responsible use of data and AI technologies.

Requirements

• A Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.


• Proven experience (5+ years) as a Data Scientist, with a strong portfolio of predictive modeling projects.


• Expertise in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and R.


• Proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop).


• Solid understanding of statistical modeling, machine learning algorithms, and deep learning concepts.


• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).


• Excellent problem-solving and analytical skills.


• Strong communication and presentation skills, capable of explaining complex findings to diverse audiences.


• Demonstrated ability to work independently and collaboratively in a remote setting.

Benefits

• Highly competitive salary and potential for performance bonuses.


• Comprehensive benefits package including health, dental, and vision insurance.


• Generous remote work stipend and home office setup allowance.


• Flexible working hours and a commitment to work-life balance.


• Access to cutting-edge technologies and professional development opportunities.


• The ability to work remotely from anywhere, contributing to global mining innovation.