Remote Senior Data Scientist - Energy Analytics

About the Role

Our client, a global leader in energy analytics and consulting, is seeking a highly accomplished Senior Data Scientist to join their distributed team. This is a fully remote position, offering unparalleled flexibility. The role will focus on developing sophisticated analytical models to extract actionable insights from vast datasets related to energy consumption, production, and market trends. You will leverage your expertise in machine learning, statistical modeling, and data visualization to solve complex challenges within the energy sector. The ideal candidate possesses a passion for data, a strong quantitative background, and the ability to translate complex findings into clear recommendations for business stakeholders. This is a unique opportunity to work from anywhere while contributing to critical energy decisions worldwide.

Our client champions a remote-first culture, empowering its employees to thrive in a flexible and collaborative environment.

Key Responsibilities

• Design, develop, and deploy advanced machine learning models for energy forecasting, anomaly detection, and optimization.
• Analyze large, complex datasets from various sources, including smart meters, SCADA systems, and market data.
• Collaborate with domain experts to define analytical problems and develop data-driven solutions.
• Develop and maintain data pipelines for efficient data processing and feature engineering.
• Visualize and communicate complex analytical results to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and big data technologies.
• Mentor junior data scientists and contribute to the team's knowledge base.
• Contribute to the development of data strategies and best practices within the organization.
• Evaluate and implement new tools and technologies to enhance analytical capabilities.
• Ensure data quality, integrity, and security in all analytical processes.

Requirements

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Minimum of 7 years of professional experience in data science or a related analytical role, with a significant focus on the energy sector.
• Proven expertise in machine learning algorithms (e.g., regression, classification, clustering, time series analysis, deep learning).
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
• Strong understanding of statistical modeling, experimental design, and data mining techniques.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work independently, manage projects effectively, and deliver high-quality results in a remote setting.
• Prior experience with energy market data or power systems is highly advantageous.

Benefits

This role offers a highly competitive salary and a comprehensive benefits package, including top-tier health insurance, a generous retirement savings plan, and significant allowances for home office setup and professional development. As a remote-first company, our client fosters a culture of flexibility, autonomy, and work-life balance. You'll have the opportunity to work with cutting-edge technologies and collaborate with a diverse, international team of experts, impacting the global energy landscape from the comfort of your chosen location.