About Fluence: Fluence Energy, Inc. (Nasdaq: FLNC) is a global market leader in energy storage products and services, and optimization software for renewables and storage. With a presence in over 47 markets globally, Fluence provides an ecosystem of offerings to drive the clean energy transition, including modular, scalable energy storage products, comprehensive service offerings, and the Fluence IQ Platform, which delivers AI-enabled SaaS products for managing and optimizing renewables and storage from any provider. Fluence is transforming the way we power our world by helping customers create more resilient and sustainable electric grids.

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We are guided by our passion to transform the way we power our world. Achieving our goals requires creativity, diversity of ideas and backgrounds, and building trust to effect change and move with speed.

Fluence currently has thousands of MW of energy storage projects operated or awarded worldwide in addition to the thousands of MW of projects managed by our trading platform—and we are growing every day.

Fluence is defined by its unwavering commitment to safety, quality, and integrity.

We achieve our goals and meet our customer’s needs by cultivating curiosity, adaptability, and self-reflection in our teams.

We value the diversity in thought and experience of our coworkers and customers. Through honest, forthcoming, and respectful communications we work to ensure that Fluence is an inclusive and welcoming environment for all.

Nispera’s software technology uses fully automated data acquisition, analysis and computational algorithms powered by artificial intelligence to ensure efficient operation of renewable energy assets around the world.

As the Director of Data Science, you will provide technology leadership and partner with cross-functional teams to develop and guide our battery storage and renewable solutions for our APM platform.

•Lead, manage and mentor a team of Data Scientists working on Machine Learning algorithms and statistical models to analyze renewable assets performance

•Provide technical leadership for APM analytics solutions

•Work with Software Engineering and Product Management teams to design, deploy and monitor data analysis tools

•Instill a culture of R&D in the Data Science team with the goal of constant improvement in algorithm performance

•Expand team through hiring as needed

•Model and cultivate a culture of inclusivity, trust, exceptional communication, collaboration, respect, continuous learning, and enthusiasm for our work

•10+ years of experience working with Data Science applications.

•3+ years of experience working on battery storage technologies.

•Strong background in Python programming for scientific applications.

•3+ years of experience building and leading engineering and/or Data Science teams

•MSc in STEM, PhD a plus

•Hands on experience with AI-models a plus

•Knowledge of the Energy industry a plus

•Experience working with relational or timeseries databases and cloud technologies a plus.

•Demonstrated ability to collaborate with cross-functional teams and build solid working relationships — from individual contributors to executives

•Experience working and delivering products or services in an agile/lean environment

•Excellent communication skills