Data Scientist (Durham, NC)

• Extract and process real time data from BESS (Battery Energy Storage Systems) using SQL and Python, ensuring data integrity and reliability.
• Utilize AWS tools to process, transform and store data for efficient querying and storage.
• Develop and implement algorithms for metrics such as Round Trip Efficiency (RTE) and degradation analysis of battery systems.
• Build predictive models using Python libraries like Pandas, NumPy, SciKit-Learn, and Matplotlib to forecast battery performance.
• Build pipeline to automatically create KPI reports and share analytics insights to stakeholders.
• Automate monthly reports on battery performance using Python scripting, providing detailed insights for operational decisions.
• Work with cross-functional teams, including software, engineering, life cycle departments to integrate analytics solutions into production systems.

This role contributes to optimizing battery energy storage systems, which supports renewable energy integration and grid stability, helping advance clean energy solutions.

• Bachelor of Science degree in Computer Engineering, or Industrial & Systems Engineering.
• Knowledge of Manufacturing Systems, Statistics, Supply Chain Modeling, Data Structures, and Software Engineering.
• Proficiency in using Python, SQL, Java, and MATLAB.
• Skills in building and maintaining ETL data pipelines.

No specific benefits, compensation, or perks mentioned in the job description.

FlexGen is a company focused on battery energy storage systems (BESS), working on energy storage solutions that support grid reliability and renewable energy integration.