Remote Senior Data Scientist - Energy Analytics

About the Role

Our client is seeking a highly skilled and motivated Remote Senior Data Scientist specializing in energy analytics to join their innovative, distributed team. This position offers the unique opportunity to work entirely from home, focusing on developing advanced analytical models to optimize energy consumption, predict demand, and enhance operational efficiency within the energy sector. You will leverage large datasets, machine learning techniques, and statistical modeling to derive actionable insights and drive strategic decision-making. This role is perfect for an experienced data scientist who thrives in a remote environment and is passionate about applying data to solve complex energy challenges.

Key Responsibilities

• Develop and deploy sophisticated machine learning models for energy forecasting, anomaly detection, and predictive maintenance.
• Analyze vast datasets from smart meters, grid sensors, and operational systems to identify trends and opportunities for efficiency improvements.
• Collaborate remotely with stakeholders across engineering, operations, and strategy teams to define data-driven solutions.
• Design and implement data pipelines, ensuring data quality, integrity, and accessibility for analysis.
• Communicate complex findings and insights clearly through visualizations, reports, and presentations to both technical and non-technical audiences.
• Mentor junior data scientists and contribute to the continuous improvement of data science methodologies and tools.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field.
• A minimum of 6 years of professional experience in data science , with a significant focus on time-series analysis and predictive modeling in the energy sector .
• Proficiency in programming languages such as Python or R, and expertise in libraries for machine learning and data manipulation (e.g., Scikit-learn, Pandas, TensorFlow).
• Strong experience with SQL and working with large-scale datasets, including cloud-based platforms (e.g., AWS, Azure, GCP).
• Excellent communication and collaboration skills, essential for a remote role .
• Demonstrated ability to lead projects and deliver impactful analytical solutions independently.

Benefits

• Highly competitive salary with a comprehensive benefits package.
• Fully remote working arrangement, providing ultimate flexibility.
• Health, dental, and vision insurance coverage.
• Generous paid time off and holiday schedule.
• Professional development budget for online courses, certifications, and virtual conferences.
• Opportunity to shape the future of energy through advanced data analytics in a collaborative remote setting.