Data Scientist - Zurich, Schweiz - Fluence Energy

Fluence Energy

Geprüftes Unternehmen

Zurich, Schweiz

vor 2 Wochen

Geschrieben von:

Lena Schneider

beBee Recruiter

Beschreibung

OUR CULTURE AND VALUES
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.

We are Leading

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.

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

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

We are Fun
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.

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.

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
MSc in Mechanical or Electrical or Chemical Engineering
Academic and/or work experience with battery storage technology
Knowledge of cell chemistry and experience with cell modelling
Proven programming skills with Python
Experience with data analysis and visualization tools
Knowledge of statistical analysis and machine learning algorithms
Team player with excellent communication skills
Strong attention to detail
Proven ability to meet deadlines and deliver solutions quickly at high quality.
Passionate about learning and tackling new and exciting technical challenges.

Software Stack:

Python
BI tools
SQL
MS Office
Linux

Fluence IS AN EQUAL OPPORTUNITY EMPLOYER and fully subscribes to the principles of Equal Employment Opportunity to ensure that all applicants and employees are considered for hire, promotion, and job status without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, marital or familial status.