Data Scientist

vor 2 Wochen

Zurich, Schweiz Fluence Energy Vollzeit

**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.

**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.

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
- Must have academic and/or work experience with battery storage technology
- Knowledge of cell chemistry and experience with cell modelling is required
- 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

Follow Fluence on LinkedIn: Fluence LinkedIn
- Fluence Career Page: Fluence Careers

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.

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