Responsible
Fluence is defined by its unwavering commitment to safety, quality, and integrity. We take personal ownership in what we do, developing trust in our relationships with internal and external stakeholders. We firmly believe in having honest, forthcoming, and fair communications.
· Master's Degree degree in Computer Science, Engineering, or another quantitative field
· Working knowledge of Python (required)
· 2 – 3 years of work experience with scientific modeling, including Machine Learning methods
· Knowledge of code architecture, best practices, and key tools, such as Github, AWS
· Hands-on experience modeling chemical or electrical processes is a plus
