Data Scientist - Energy Analytics

Our client, an innovative energy technology firm, is seeking a talented Data Scientist to join their expanding analytics team. This fully remote position offers the opportunity to leverage vast datasets to uncover insights and drive improvements in energy systems across
** South Africa**. You will be responsible for developing predictive models, optimizing energy efficiency, and contributing to strategic decision-making through advanced data analysis. This role requires a strong foundation in statistical modeling, machine learning, and programming, combined with a passion for the energy sector. We encourage collaboration and innovation within our remote work culture. The successful candidate will play a key part in transforming energy data into actionable intelligence, impacting areas such as grid management and renewable energy integration, potentially benefiting regions like
** Welkom**.

• Develop and implement machine learning models for forecasting energy demand, supply, and pricing.
• Analyze large, complex datasets from smart meters, grid sensors, and renewable energy sources.
• Build data pipelines and automate data processing tasks.
• Identify patterns and trends in energy consumption and generation data.
• Collaborate with domain experts to define business problems and translate them into data science solutions.
• Visualize data and communicate findings effectively to technical and non-technical stakeholders.
• Evaluate model performance and iterate on solutions for continuous improvement.
• Stay current with the latest advancements in data science, machine learning, and energy analytics.
• Contribute to the development of data-driven products and services.

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 4 years of experience as a Data Scientist, with a focus on predictive modeling and machine learning.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, Tensor Flow, PyTorch).
• Experience with SQL and working with large datasets.
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience in the energy sector, particularly with energy data, is a significant plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex models simply.
• Ability to work independently and manage projects effectively in a remote environment.

• Competitive salary and performance-based bonuses.
• Fully remote work arrangement with significant flexibility.
• Comprehensive health, dental, and vision insurance plans.
• Generous retirement savings contributions.
• Access to advanced data science tools and platforms.
  
  Opportunities for professional development, including conferences and certifications.
• Impactful work contributing to the future of the energy industry.
• Collaborative and innovative virtual team environment.