Fluence is hiring a
Engineering Data Scientist

Summary

Join Fluence as an Engineering Data Scientist to apply your expertise in training advanced models of physical systems to our energy storage products. This role will provide support to the Product Design group and Core Modelling team, predicting battery behavior and tracking performance.

Requirements

• Master’s degree in engineering, computer science, or another quantitative field
• 3+ years of work experience with scientific modeling of physical systems using large data sets
• Working knowledge of Python and tabular databases
• Knowledge of data structures, coding best practices, and key tools such as GitHub, AWS
• Ability to work collaboratively in remote teams
• Fluency in English
• Strong interpersonal, communication and presentation skills

Responsibilities

• Export, clean and organize large sets of field data
• Develop new models of physical systems
• Extend established models to new applications
• Implement advanced computing techniques to improve model accuracy and performance
• Work with electrical engineers, battery engineers, and systems engineers
• Support hardware testing, test plan development, testing strategy, and prototype evaluations
• Communicate findings clearly and take ownership of data-driven design recommendations
• Collaborate within cross-functional teams and communicate with stakeholders
• Support development of Product Guides and other documentation
• Support sales operations by incorporating key performance metrics into Fluence’s technical sales tools
• Perform additional responsibilities as assigned