Energy Data Scientist - Jobvous Staffing Solutions, LLC

About the Role

As an Energy Data Scientist, you will play a key role in analyzing and optimizing energy systems, predicting demand, and supporting sustainability initiatives through advanced data analytics and machine learning. This position requires a combination of strong analytical skills, knowledge of energy systems, and expertise in machine learning to enhance energy efficiency and innovation.

Responsibilities

• Collect, clean, and analyze large datasets from energy sources (e.g., grid data, renewable sources, smart meters).
• Develop predictive models for energy consumption, generation forecasting, and load balancing.
• Use machine learning and statistical models to optimize energy distribution and storage.
• Perform time-series analysis to predict demand fluctuations and prevent energy shortfalls or surpluses.
• Work closely with engineering teams to implement data-driven solutions across energy systems.
• Conduct exploratory data analysis (EDA) to uncover insights and recommend actionable strategies.
• Develop and maintain data pipelines, ensuring real-time access to data for model training and validation.
• Communicate findings and present data insights to stakeholders and decision-makers.

Required Qualifications

• Education: Bachelors degree in Data Science, Computer Science, Engineering, Statistics, or a related field (Master's or Ph.D. preferred).
• Experience: 3+ years of experience in data science, with a focus on energy or utilities preferred.
• Technical Skills:
  • Proficiency in Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI).
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
  • Strong understanding of time-series analysis, statistical modeling, and predictive analytics.
  • Familiarity with big data tools like Hadoop, Spark, or cloud-based solutions (e.g., AWS, Azure).
• Domain Knowledge: Understanding of energy systems, power grids, and renewable energy sources is a strong advantage.

Preferred Skills

• Experience with optimization algorithms and real-time data processing.
• Familiarity with industrial IoT data and sensor technologies.
• Knowledge of carbon emissions tracking and sustainability metrics.
• Ability to communicate complex technical findings to non-technical stakeholders.