Senior Data Scientist - Energy Analytics; Remote

About the Role

Our client is seeking an innovative Senior Data Scientist to lead their remote energy analytics initiatives. In this fully remote position, you will leverage advanced statistical techniques and machine learning algorithms to extract actionable insights from vast datasets within the Oil & Gas sector. Your work will directly influence operational efficiency, predictive maintenance, and strategic decision-making across the organization. This role is ideal for a self-motivated individual who thrives on solving complex problems using data and enjoys the collaborative, flexible environment of a remote-first company, operating from anywhere with a strong internet connection.

• Develop and implement machine learning models for predictive analytics, anomaly detection, and optimization in energy operations.
• Analyze large, complex datasets from various sources (e.g., sensor data, production logs, financial records) to identify trends and patterns.
• Design and execute data mining strategies, including data cleansing, feature engineering, and model validation.
• Collaborate with domain experts, engineers, and business stakeholders to define analytical problems and deliver data-driven solutions.
• Communicate complex findings and recommendations clearly through visualizations and presentations to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and AI, and champion their adoption within the team.

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, or a related quantitative field.
• 8+ years of professional experience in data science, with a proven track record of delivering impactful analytical solutions.
• Expertise in programming languages such as Python or R, and proficiency with data science libraries (e.g., scikit-learn, Tensor Flow, PyTorch).
• Strong experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
• Demonstrated ability to manage data science projects from conception to deployment in a remote setting.
• Experience in the Oil & Gas or broader energy sector is highly desirable.

• Exceptional salary package with comprehensive benefits and potential for equity.
• Full remote work arrangement with flexibility in working hours.
• Generous professional development budget for courses, conferences, and certifications.
• Access to cutting-edge technology and cloud computing resources.
• A collaborative and intellectually stimulating remote work culture focused on innovation and impact, regardless of your physical location near Pretoria .