Remote Exploration Data Scientist

Placements24; Paarl; Remote; ZAR 1.200.000 - 1.800.000; Vollzeit

Benefits dieser Stelle

Health insurance

Generous annual leave

Professional development including e-c

Zusammenfassung

Placements24 is seeking a highly skilled Remote Exploration Data Scientist to join a globally distributed team. You will analyze geological, geophysical, and geochemical data to identify targets and optimize exploration strategies, using Python/R and ML/AI techniques.

The role emphasizes remote collaboration, cloud-based workflows, and data-driven decision making in mineral exploration. A strong analytic background and publications or prior mining exposure are advantageous.

Qualifikationen

• Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Geosciences with a strong computational focus, or a related quantitative field.
• Minimum of 5 years of experience in data science, with substantial exposure to geological or exploration data.
• Proficiency in Python or R and libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Experience with big data tech (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Strong statistical modeling, ML, and data mining knowledge.
• Familiarity with geological concepts and exploration workflows is desirable.
• Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
• Excellent problem solving and communication skills, able to work remotely.

Aufgaben

• Develop and implement advanced analytical models and ML algorithms for geological data interpretation.
• Process, clean, and integrate large, complex exploration datasets.
• Identify and validate mineral exploration targets based on data-driven insights.
• Collaborate with geologists to translate data insights into solutions.
• Build predictive models to forecast resource potential and exploration success.
• Create visualizations and dashboards for technical and non-technical stakeholders.
• Stay updated with latest data science and AI advances in mining.
• Contribute to data management strategies and best practices.
• Design experiments and A/B tests to evaluate model effectiveness.
• Automate data processing pipelines and reporting.

Kenntnisse

Python

R

Machine learning

Big data

Data visualization

Remote teamwork

Ausbildung

Masters or PhD in Data Science/CS/Stats/Geosciences

Tools

Spark

Hadoop

AWS/Azure/GCP

Tableau/Power BI/Matplotlib/Seaborn

Jobbeschreibung

About the Role

Our client, a forward-thinking leader in the Mining sector, is seeking a highly skilled and experienced Remote Exploration Data Scientist to join their globally distributed team. This role is central to leveraging advanced data analytics, machine learning, and artificial intelligence to drive innovation in mineral exploration. You will be instrumental in analyzing vast geological, geophysical, and geochemical datasets to identify new resource targets and optimize exploration strategies. This is a fully remote position, offering flexibility and the opportunity to work with cutting-edge technologies from anywhere. We are looking for a data-driven individual with a passion for uncovering hidden patterns and contributing to the future of resource discovery.

Key Responsibilities

• Develop and implement advanced analytical models and machine learning algorithms for geological data interpretation.
• Process, clean, and integrate large, complex datasets from various exploration sources.
• Identify and validate potential mineral exploration targets based on data-driven insights.
• Collaborate with geologists and geoscientists to understand exploration challenges and provide data solutions.
• Build predictive models to forecast resource potential and exploration success rates.
• Develop data visualizations and dashboards to communicate complex findings to technical and non-technical stakeholders.
• Stay abreast of the latest advancements in data science, AI, and their applications in the mining industry.
• Contribute to the development of data management strategies and best practices.
• Design and execute A/B tests or experiments to evaluate the effectiveness of new models or approaches.
• Automate data processing pipelines and reporting mechanisms.

Requirements

• Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Geosciences with a strong computational focus, or a related quantitative field.
• Minimum of 5 years of experience in data science, with a significant portion applied to geological or exploration data.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Strong knowledge of statistical modeling, machine learning algorithms, and data mining techniques.
• Familiarity with geological concepts and exploration workflows is highly desirable.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote team environment.
• Proven ability to translate complex data insights into actionable business recommendations.

Benefits

• Our client offers a highly competitive salary and benefits package, designed to attract top talent in the field. As a fully remote role, you benefit from ultimate flexibility in your work location. We provide a generous annual leave allowance, comprehensive health insurance, and opportunities for continuous professional development, including access to online courses, conferences, and certifications. The company fosters an innovative and collaborative culture, valuing employee contributions and well-being. You will work with a dynamic, international team on cutting-edge projects that are shaping the future of mineral exploration. This role offers the chance to significantly impact global resource discovery from the convenience of your home office.