Data Scientist

 

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. 

ABOUT THE POSITION:

This position will be within Fluence’s Data Science team, working on the Nispera Asset Performance Management (APM) platform. The platform monitors, analyzes, and optimizes the performance of Battery Energy Storage Systems (BESS) and renewable energy assets, leveraging fully automated data acquisition and AI-driven computational algorithms. The role will be based in Fluence’s office in Zurich, Switzerland and will report to the Director of Data Science, also located in Zurich.

As a Data Scientist, you will contribute to and take the lead on data science projects for asset performance management, with a focus on BESS.Leveraging your expertise in statistics, mathematical optimization, Machine Learning (ML), and Artificial Intelligence (AI), you will develop data-driven models and analytics solutions that extract actionable insights from large datasets, delivering value to our customers. Additionally, you will assist in creating new reports that combine the model outputs with insightful visualizations, providing a clear and comprehensive overview of the assets.You will collaborate with product managers, other data scientists, and subject matter experts to align on technical requirements and work with software engineers to integrate the developed data science models into the Nispera platform.

Develop advanced analytics, metrics, KPIs, and alerts using operational data from batteries and renewable assets to evaluate performance and identify components with potential performance issues.

Build, train, and maintain ML / AI models for applications such as anomaly detection, forecasting, and predictive maintenance.

Assist in creating reports that use insightful visualizations to present the metrics and outputs of data-driven models, providing customers with a clear overview of their assets.

Collaborate effectively with cross-functional teams to understand requirements, build robust data-driven models, and ensure seamless integration into the Nispera platform.

 

Bachelor’s degree in a relevant field (e.g., Data Science, Computer Science, Electrical / Mechanical / Chemical Engineering, Mathematics) with 8+ years of professional experience in data science, data / software engineering, operations research, or related roles, preferably in the energy sector; or a Master’s degree with 6+ years of experience in these areas.

Excellent programming skills in Python and SQL, with experience in scientific libraries (e.g., NumPy, Pandas, Scikit-learn, Matplotlib).

Proficiency in statistical analysis, ML / AI models, and/or mathematical optimization.

Exceptional analytical and problem-solving skills, coupled with a passion for learning and tackling new technical challenges.

 Strong organization skills and demonstrated ability to collaborate and build effective working relationships.

Proven ability to work independently, take initiative, manage tasks with minimal supervision, meet deadlines, and deliver solutions quickly and at high quality.

Excellent written and verbal communication skills in English.

Master’s degree in a relevant field.

Experience with additional programming languages.

Proven experience with cloud technologies, preferably AWS.

Proficient in collaboration and project management tools (e.g., Jira, GitHub).

Hands-on experience with agile development frameworks, ideally Scrum.

Strong knowledge of the power and energy sector, including battery storage and renewable energy technologies (e.g., wind and solar).

Professional and/or academic experience with lithium-ion batteries, including a solid understanding of cell chemistry and key operational factors affecting performance and aging.