Data Scientist - Energy Markets

Our client is seeking a highly skilled and innovative Data Scientist to join their fully remote team, supporting operations across the energy sector. In this role, you will leverage advanced analytics, machine learning, and statistical modeling to derive actionable insights from complex energy datasets. You will work on diverse challenges, including demand forecasting, grid optimization, and market price prediction, contributing directly to strategic decision-making and operational efficiency.

This is a unique opportunity for a talented individual to shape the future of energy through data-driven solutions, regardless of their physical location, and contribute to advancements in the Western Cape energy landscape.

• Develop and implement predictive models for energy demand, supply, and market pricing using machine learning techniques.
• Analyze large, complex datasets from various energy sources (e.g., grid sensors, market data, weather patterns) to identify trends and anomalies.
• Design and conduct A/B tests and other experiments to evaluate the impact of new strategies or technologies.
• Collaborate with domain experts, software engineers, and product managers to translate business needs into data science solutions.
• Communicate complex analytical findings and recommendations clearly and concisely to technical and non-technical audiences.
• Build and maintain data pipelines, ensuring data quality and integrity for robust analysis.

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Physics, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with a significant focus on the energy sector or similar complex systems.
• 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 SQL and No
  
  SQL databases, data warehousing, and big data technologies (e.g., Spark).
• Demonstrated ability to develop and deploy machine learning models into production environments.
• Excellent analytical, problem-solving, and communication skills, with the ability to work independently in a remote setting.

• Highly competitive salary and bonus structure for remote employees.
• Comprehensive health, dental, and vision insurance plans.
• Generous remote work stipend and home office setup budget.
• Significant opportunities for professional growth, including conferences and training.
• Flexible working hours and a culture that values autonomy and innovation.