Lead Data Scientist - Predictive Analytics in Mining

Placements24; Vereeniging; Hybrid; ZAR 1.200.000 - 1.900.000; Vollzeit

Benefits dieser Stelle

Fully remote role

Competitive salary

Health benefits

Performance-based bonuses

Learning & development

Zusammenfassung

Placements24 is hiring a Lead Data Scientist for a fully remote role, focusing on advanced analytics to optimise mining operations, safety, and resource management. You will lead a small team, collaborate with geology and operations, and drive the data strategy across the company.

You should have 8+ years in data science with strong ML, cloud, and programming skills, and enjoy mentoring juniors in a cross-disciplinary setting.

Qualifikationen

• Master's or Ph.D. in a quantitative field (Data Science/CS/Stats/Math).
• 8+ years of professional data science experience with predictive models.
• Proficient in Python or R and libraries (scikit-learn, TensorFlow, PyTorch, Pandas).
• Strong SQL and NoSQL database experience.
• Experience with cloud platforms (AWS/Azure/GCP) and Spark.
• Experience leading data science projects and mentoring juniors.
• Excellent statistical modeling, ML algorithms, and experimental design.
• Strong communication and stakeholder management skills.
• Ability to translate business problems into data solutions.
• Mining or natural resources sector experience is a plus.

Aufgaben

• Develop and deploy predictive models for operational efficiency and maintenance.
• Design and implement data pipelines for large-scale data ingestion and processing.
• Apply advanced statistics and ML algorithms (regression, classification, clustering, deep learning).
• Lead and mentor a team of data scientists.
• Communicate insights to technical and non-technical stakeholders with visualizations.
• Collaborate with geology, engineering, and operations to identify use cases.
• Stay updated with advances in data science and AI for mining.
• Evaluate new tools and technologies to enhance capabilities.
• Ensure ethical and responsible use of data and AI.
• Contribute to data strategy and roadmap.

Kenntnisse

Python

R

Scikit-learn

TensorFlow

PyTorch

Pandas

SQL

NoSQL

AWS

Azure

GCP

Spark

Leadership

Mentoring

Data visualization

Communication

Ausbildung

Master's or Ph.D. in Data Science/CS/Stats/Math

Tools

Spark

Cloud Platforms (AWS/Azure/GCP)

Pandas

Jobbeschreibung

About the Role

Our client is a forward-thinking mining organisation seeking an exceptional Lead Data Scientist to spearhead their data analytics initiatives. This is a fully remote role, allowing you to contribute from anywhere while driving innovation in the mining sector. You will be responsible for developing and implementing advanced machine learning models and predictive analytics solutions to optimise mining operations, enhance safety, and improve resource management. This is a unique opportunity to work with vast datasets, cutting-edge technologies, and influence strategic decision-making across the company. You will lead a small team of data scientists and collaborate closely with operational and technical departments.

Key Responsibilities

• Develop and deploy sophisticated predictive models for operational efficiency, equipment maintenance, safety, and resource estimation.
• Design and implement robust data pipelines for collecting, cleaning, and transforming large volumes of data from various sources.
• Utilise advanced statistical techniques and machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Lead and mentor a team of data scientists, fostering a collaborative and innovative environment.
• Communicate complex findings and insights to both technical and non-technical stakeholders through compelling visualizations and presentations.
• Collaborate with domain experts in geology, engineering, and operations to identify high-impact use cases.
• Stay abreast of the latest advancements in data science, machine learning, and AI relevant to the mining industry.
• Evaluate and recommend new tools and technologies to enhance the data science capabilities.
• Ensure the ethical and responsible use of data and AI in all projects.
• Contribute to the development of the company's data strategy and roadmap.

Requirements

• A Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• A minimum of 8 years of professional experience in data science, with a proven track record of developing and deploying predictive models in a business context.
• Expertise 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 NoSQL databases.
• Proficiency in cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark).
• Demonstrated experience in leading data science projects and mentoring junior team members.
• Excellent understanding of statistical modelling, machine learning algorithms, and experimental design.
• Superior communication, presentation, and stakeholder management skills.
• Ability to translate complex business problems into data science solutions.
• Previous experience or demonstrated interest in the mining or natural resources sector is a significant advantage.

Benefits

This is a fully remote position offering unparalleled flexibility. Our client provides a highly competitive salary, comprehensive health benefits, and generous performance-based bonuses. Opportunities for continuous learning, attending leading conferences, and professional development are abundant. You will be part of a team that is revolutionising the mining industry through data and analytics, offering a dynamic and intellectually stimulating career path. This role offers the chance to make a significant impact on a global scale without the need for relocation.