Data Scientist - Battery Energy Storage Systems

Fluence is the leading global energy storage technology and services company, created and backed by Siemens and AES, two industry powerhouses and pioneers in energy storage. Fluence unites the scale, experience, breadth, and financial backing of the two most experienced icons in energy storage.

Our mission is to create a more sustainable future by transforming the way we power our world. Energy storage is critical to this transformation, yet today the market is fragmented and customers face the challenge of finding a trusted technology partner amidst conflicting technical claims, inexperienced vendors and installers, and new market entrants with limited power sector knowledge.

Fluence brings the proven technology solutions and services that overcome the commercial and regulatory barriers that stand in the way of modernizing our energy networks. We are the partner that can deliver at a global scale with the most experienced and knowledgeable team in the world.

Fluence (Nasdaq: FLNC) is a global market leader in energy storage products and services and digital applications for renewables and storage. With a presence in 30 global markets, Fluence provides an ecosystem of offerings to drive the clean energy transition, including modular, scalable storage products, comprehensive service offerings, and the Fluence IQ platform, which delivers AI-enabled digital applications for managing and optimizing storage and renewables. The company is transforming the way we power our world by helping customers create more resilient and sustainable electric grids. For more information, please visit fluenceenergy.com.

 

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. 

This position will be within the Fluence Digital business unit, formed following Fluence’s acquisition of San Francisco-based start-up AMS. Fluence Digital’s IQ platform uses artificial intelligence, advanced price forecasting, portfolio optimization and market bidding to ensure energy storage and flexible generation assets are optimally participating in wholesale electricity markets.

ABOUT THE POSITION:

This position will be within the Fluence Digital business unit. Fluence Digital’s software technology uses fully automated data acquisition, analysis and computational algorithms powered by artificial intelligence.

As Data Scientist, you will develop data-driven monitoring and analysis solutions for renewable energy plants located across the globe, with particular focus on Battery Energy Storage Systems. You will be able to understand the operational aspects of these assets and to identify performance issues. For this purpose, you will handle big data volumes and you will extract clear insights, also leveraging machine-learning techniques and physical modelling. Collaborating with Software Engineering team for the development of new software modules and building relationships with Clients are important responsibilities for this role.

The role will be based in Fluence Digital’s Zürich office and will report into the Data Science & Product team, with close interaction with software engineers, product managers, and subject matter experts to shape the evolution of our company and the future of the renewable assets’ performance management and optimization landscape.

Key responsibilities include:

·       Analyze Battery Energy Storage Systems performance

·       Develop analytics and optimize data analysis tools

·       Technical support to clients

·       Work with Software Engineering to develop new modules and functionalities

 

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