Remote Senior Data Scientist - Energy

Our client is looking for an exceptional Senior Data Scientist to join their innovative team on a fully remote basis, supporting operations that impact the energy sector. This role is crucial for leveraging vast datasets to uncover insights, build predictive models, and drive data-informed strategies. You will work with cutting-edge machine learning techniques and big data technologies to solve complex challenges within the energy domain, contributing to smarter energy management and distribution.

This is a unique opportunity for a data expert to make a significant impact from anywhere.

• Develop and implement advanced machine learning models for energy forecasting, anomaly detection, and optimization.
• Extract, clean, and transform large datasets from various energy-related sources.
• Design and conduct experiments to test hypotheses and validate model performance.
• Collaborate with domain experts and engineers to define data-driven solutions.
• Communicate complex findings and recommendations to technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to the team's best practices.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 6 years of professional experience as a Data Scientist, with a strong focus on predictive modeling and machine learning.
• Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., scikit-learn, Tensor Flow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Strong understanding of statistical concepts and experimental design.
• Excellent communication and problem-solving skills, with the ability to work independently.

• Highly competitive salary and remote work flexibility.
• Annual performance bonus and stock options.
• Comprehensive health, dental, and vision insurance.
• Generous budget for professional development, including conferences and online courses.
• Opportunity to work on challenging, impactful projects in a dynamic industry.