Energy Data Scientist

Employer
Jobvous Staffing Solutions, LLC
Location
Houston, Texas
Posted
Nov 08, 2024
Closes
Nov 13, 2024
Ref
2846776702
Position Type
Scientist, Data
Hours
Full Time
Organization Type
Other
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.