Senior Data Scientist; Energy Analytics; Remote

About the Role Our client is a leading innovator in the global energy technology space , seeking an exceptional Senior Data Scientist with a specialization in Energy Analytics to join their fully remote team. This role is pivotal in leveraging vast datasets to derive actionable insights, optimize energy systems, and drive the development of cutting-edge solutions for the energy transition. You will work with complex data challenges, applying advanced statistical modeling, machine learning, and AI techniques.

As a remote-first organization, we champion asynchronous communication, provide robust digital collaboration tools, and foster a culture of trust and autonomy. This is a unique opportunity to work from anywhere while making a significant impact on the future of energy. Your expertise will be critical in transforming raw data into strategic advantages for our organization and our clients worldwide.

• Develop, implement, and deploy advanced machine learning models for energy forecasting, demand prediction, grid optimization, and anomaly detection.
• Clean, process, and analyze large, complex datasets from various energy sources and consumption patterns.
• Collaborate closely with software engineers, product managers, and domain experts to integrate data-driven solutions into our platforms.
• Design and conduct A/B tests and other experiments to evaluate model performance and identify areas for improvement.
• Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical stakeholders through visualizations and reports.
• Stay at the forefront of data science and machine learning research, particularly in energy-related applications.
• Contribute to the development of data infrastructure and best practices for data management and analysis.
• Mentor junior data scientists and contribute to building a strong data science community within the organization.

• Master's degree or PhD in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with a strong focus on applying ML techniques to real-world problems.
• Proven experience in building and deploying production-level machine learning models.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, Tensor Flow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Strong understanding of statistical modeling, experimental design, and data mining techniques.
• Excellent problem-solving skills and the ability to think critically and creatively.
• Exceptional communication and collaboration skills, essential for a remote team environment.
• Demonstrated interest or experience in the energy sector is highly desirable.

• Highly competitive salary with potential for stock options.
• Comprehensive global health insurance coverage.
• Generous home office stipend and wellness budget.
• Unlimited paid time off (PTO) policy.
• Annual budget for professional development, conferences, and training.
• Opportunity to shape the future of sustainable energy through data innovation.
• Work with a talented and diverse team from anywhere in the world.