Part-Time Data Scientist - Battery Analytics

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.For more information, visit our website, or follow us on LinkedIn or Twitter. To stay up to date on the latest industry insights, sign up for Fluence's Full Potential Blog. 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. 
We are seeking a skilled Part-Time Data Scientist to join our Battery Analytics team. The selected candidate will be responsible for analyzing large datasets to unearth insights, forecast trends, and enhance the performance and durability of our energy storage solutions. This role demands a strong foundation in statistical analysis and the capability to transform complex datasets into actionable intelligence.

What does the ideal candidate look like?

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering (with data science exposure and skills), or a related field.
• Proven experience/knowledge in statistical analysis, machine learning, and predictive modeling.
• Proficiency in programming languages such as Python or R, and familiarity with SQL.
• Experience/knowledge in creating insightful dashboards using data visualization tools (e.g., Tableau, Power BI).
• Familiarity with battery technology and energy storage systems is preferred.
• Ability to work independently and in team settings in a remote environment.
• Excellent communication skills for presenting data findings clearly to both technical and non-technical audiences.

What does a Part-Time Data Scientist do at Fluence?

• Analyzing extensive datasets to identify trends, detect anomalies, and find opportunities for improvement in battery performance and lifespan.
• Developing and maintaining predictive models to forecast battery health and optimize energy storage operations.
• Creating and overseeing dashboards and reports for battery analytics, aiding strategic decisions across the organization.
• Collaborating with teams such as engineering, product management, and field operations to implement data-driven improvements.
• Staying updated with the latest trends in data science and battery technology to continually enhance analytics capabilities.


• How to Apply
• Interested candidates should send a resume along with a cover letter explaining why they are the ideal fit for this role at Fluence Energy. Your application should include examples of past projects or achievements that demonstrate your expertise in data analysis and battery technology.
• Fluence Energy is an equal opportunity employer, committed to building a diverse and inclusive workplace.

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.