Remote Lead Data Scientist - Mineral Processing Optimization

Placements24; Kempton Park; Hybrid; ZAR 1.200.000 - 1.800.000; Vollzeit

Benefits dieser Stelle

Remote-friendly

Health insurance

Annual leave

Home office stipend

Equipment provided

Professional development

Zusammenfassung

Placements24 seeks a Remote Lead Data Scientist to drive mineral processing insights through advanced analytics. You will build and deploy predictive models, work with sensor data and lab results, and influence decision-making across global teams.

You should have a PhD or MSc and 8+ years in data science, including 3+ in leadership. Strong Python/R, ML, SQL, and cloud experience are required. This is a remote-first role in South Africa with competitive compensation.

Qualifikationen

• PhD or MSc in Data Science, CS, Stats, Math, Engineering or related field.
• 8+ years in data science with at least 3 in a lead/senior role.
• Proven ML experience (regression, classification, clustering, DL).
• Strong programming (Python/R) and SQL; experience with big data stacks.

Aufgaben

• Lead design, development, and deployment of advanced ML models for mineral processing optimization.
• Analyze large, diverse data sources to extract actionable insights.
• Develop predictive models for equipment failure and process variability.
• Collaborate with engineers, IT and metallurgists to integrate data science solutions.
• Design A/B tests to validate model performance and impact.
• Mentor junior data scientists and analysts.
• Communicate findings to technical and non-technical stakeholders.

Kenntnisse

Python

R

Machine learning

Statistics

Big data

Data visualization

Ausbildung

PhD or MSc

Tools

scikit-learn

TensorFlow

PyTorch

Tableau

Power BI

Matplotlib

Spark

Hadoop

SQL

Jobbeschreibung

About the Role

Our client, a trailblazer in leveraging advanced analytics for the mining sector , is actively seeking a visionary Remote Lead Data Scientist . This position is pivotal in driving innovation in mineral processing and operational efficiency through sophisticated data science methodologies. As a remote-first role, you will have the flexibility to work from anywhere within South Africa, collaborating with globally distributed teams. You will be instrumental in developing and deploying cutting-edge machine learning models, predictive analytics, and data visualization tools to tackle complex challenges in ore characterization, plant performance, and process control. This is an exceptional opportunity to shape the future of data-driven decision-making in the mining industry from the comfort of your home office, contributing to sustainable and efficient resource extraction.

Key Responsibilities

Lead the design, development, and implementation of advanced statistical models and machine learning algorithms for mineral processing optimization. Analyze large, complex datasets from various sources (e.g., sensor data, operational logs, laboratory results) to extract actionable insights. Develop predictive models for equipment failure, process variability, and product quality. Collaborate with metallurgists, process engineers, and IT professionals to integrate data science solutions into existing workflows. Design and conduct A/B tests and experiments to validate model performance and impact. Mentor and guide junior data scientists and analysts, fostering a culture of technical excellence. Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders, including senior leadership. Stay abreast of the latest advancements in data science, machine learning, and their applications in the mining sector . Develop and maintain robust data pipelines and ensure data integrity and accessibility for analytical purposes. Contribute to the strategic roadmap for data science initiatives within the organization.

Requirements

Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. Minimum of 8 years of experience in data science, with at least 3 years in a lead or senior role. Proven experience applying machine learning techniques (e.g., regression, classification, clustering, deep learning) to real-world problems, preferably within the mining or heavy industry . Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch). Strong SQL skills and experience with big data technologies (e.g., Spark, Hadoop). Demonstrated experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Excellent communication, presentation, and interpersonal skills, with the ability to effectively collaborate in a remote environment. Experience with cloud platforms (AWS, Azure, GCP) is a plus. A strong understanding of statistical principles and experimental design. Ability to work independently and manage multiple projects simultaneously.

Benefits

This role offers a highly competitive salary, commensurate with your expertise and experience, along with performance-based bonuses. As a remote position, it provides unparalleled flexibility and work-life balance. Our client provides a generous annual leave allowance and comprehensive health insurance coverage. Continuous professional development is strongly supported through online courses, workshops, and virtual conferences. Employees are provided with the necessary equipment and a home office stipend to ensure a productive remote working setup. You'll be part of an innovative and supportive team that values cutting-edge research and development in the mining industry .