Remote Data Scientist - Energy Analytics

About the Role

Our client is seeking a talented and driven Data Scientist to join their fully remote analytics team, focusing on the energy sector . In this role, you will leverage advanced statistical techniques and machine learning algorithms to extract actionable insights from vast datasets related to energy consumption, production, and market trends. You will play a key role in developing predictive models, optimizing operational efficiency, and identifying new opportunities for innovation within the energy landscape. This position offers the flexibility of remote work combined with the opportunity to make a significant impact in a critical global industry.

Key Responsibilities

• Develop, train, and deploy machine learning models for forecasting, anomaly detection, and optimization in the energy domain.
• Analyze large, complex datasets from various sources, including smart meters, grid sensors, and market data.
• Design and implement experiments to test hypotheses and validate model performance.
• Collaborate with cross-functional teams, including engineers and business analysts, to understand data needs and translate findings into practical applications.
• Communicate complex analytical results clearly and concisely to both technical and non-technical audiences.
• Contribute to the development of data visualization dashboards and reports to track key performance indicators.

Requirements

• Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
• 3+ years of professional experience as a Data Scientist or similar role, with a focus on energy analytics .
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
• Excellent problem-solving skills and the ability to work autonomously in a remote setting.

Benefits

• Competitive salary commensurate with experience.
• fully remote working environment with flexible hours.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and company holidays.
• Opportunities for continuous learning and professional growth in a cutting-edge field.