Remote Senior Data Scientist - Mining Analytics

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 1,200,000 - 1,900,000; Full time

Benefits offered by this job

Competitive salary

Performance-based bonus

Fully remote work with global team

Professional development opportunities

Job summary

Placements24 is seeking a highly skilled Remote Senior Data Scientist to join a globally distributed team. You will design and deploy predictive models for ore grade, equipment failure, and operational efficiency, leveraging Python/R and cloud tools from anywhere.

You will collaborate with geologists, engineers, and operations managers to translate insights into business value, mentor junior colleagues, and stay at the forefront of data science in mining.

Qualifications

• MSc or PhD in Computer Science, Statistics, Data Science, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science, with a strong focus on developing and deploying machine learning models in an industrial context.
• Proficiency in Python or R, and libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy.
• Strong experience with SQL and NoSQL databases.
• Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Excellent understanding of statistical modeling, ML algorithms, and data mining methodologies.
• Strong communication and presentation skills for diverse audiences.
• Proven ability to work independently and manage remote projects.
• Experience in Mining or natural resources is highly desirable.

Responsibilities

• Design, develop, and deploy ML models and algorithms for mining-related applications (e.g., predictive maintenance, resource estimation, operational optimization).
• Clean, transform, and analyze large, complex datasets from various mining sources.
• Collaborate with geologists, engineers, and operations managers to identify key business questions and data-driven solutions.
• Develop and maintain data pipelines and ETL processes for analytical purposes.
• Communicate complex analytical findings clearly to technical and non-technical stakeholders through visualizations and reports.
• Stay current with latest data science and big data technologies.
• Mentor junior data scientists and contribute to the team's growth.
• Ensure quality, integrity, and scalability of models and solutions.
• Conduct A/B testing and experiments to evaluate impact.
• Contribute to strategic roadmap for data analytics in mining.

Skills

Python

R

SQL

Spark

Hadoop

TensorFlow

PyTorch

Pandas

NumPy

Education

MSc or PhD in Computer Science / Statistics / Data Science / Mathematics

Tools

AWS

Azure

GCP

Job description

About the Role

Our client, a forward-thinking leader in the Mining technology space, is seeking a highly skilled and experienced Remote Senior Data Scientist to join their globally distributed team. This role is fully remote and focuses on leveraging advanced analytics, machine learning, and statistical modeling to unlock actionable insights from vast datasets generated by mining operations worldwide. You will play a key role in developing predictive models for ore grade, equipment failure, and operational efficiency, directly impacting strategic decision-making and driving innovation. This is an exceptional opportunity for a motivated data scientist to work on challenging problems in the mining sector from the comfort of their own home, collaborating with international experts and utilizing cutting-edge tools. We are looking for a self-starter with a passion for data-driven solutions and a proven ability to translate complex analytical findings into business value.

Key Responsibilities

• Design, develop, and deploy sophisticated machine learning models and algorithms for mining-related applications (e.g., predictive maintenance, resource estimation, operational optimization).
• Clean, transform, and analyze large, complex datasets from various mining sources.
• Collaborate with geologists, engineers, and operations managers to identify key business questions and data-driven solutions.
• Develop and maintain data pipelines and ETL processes for analytical purposes.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical stakeholders through compelling visualizations and reports.
• Stay current with the latest advancements in data science, machine learning, and big data technologies.
• Mentor junior data scientists and contribute to the team's technical growth.
• Ensure the quality, integrity, and scalability of developed models and solutions.
• Conduct A/B testing and other experiments to evaluate the impact of implemented solutions.
• Contribute to the strategic roadmap for data analytics within the mining domain.

Requirements

• MSc or PhD in Computer Science, Statistics, Data Science, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science, with a strong focus on developing and deploying machine learning models in an industrial context.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Strong experience with SQL and working with relational databases, as well as NoSQL databases.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Demonstrated ability to solve complex problems using quantitative analysis and data mining techniques.
• Excellent understanding of statistical modeling, machine learning algorithms, and data mining methodologies.
• Strong communication and presentation skills, with the ability to explain technical concepts to a diverse audience.
• Proven ability to work independently and manage projects effectively in a remote setting.
• Experience within the Mining or natural resources sector is highly desirable.

Benefits

• Our client offers a highly competitive salary commensurate with experience, a generous performance-based bonus structure, and excellent health benefits.
• This role provides the flexibility of fully remote work, allowing you to operate from anywhere.
• You will have access to cutting-edge tools and technologies, significant professional development opportunities, and the chance to work on impactful projects that shape the future of the mining industry.
• Join a collaborative, innovative team dedicated to pushing the boundaries of data science in the Mining sector, regardless of location.