Data Scientist
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 excellence center in Bangalore, India, and will report to the Director of Data Science in Zurich, Switzerland.
As a Data Scientist, you will develop reports and analytics solutions for asset performance management and play a key role in the maintenance and enhancement of our reporting infrastructure. You will process large volumes of data, create informative visualizations, and extract actionable insights to deliver value to our customers. Additionally, using your skills in statistics, mathematical optimization, Machine Learning (ML), and Artificial Intelligence (AI), you will contribute to data science projects, with a focus on BESS. 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 reports, analytics solutions, or data science models into the Nispera platform.
Key responsibilities include:
•Support the operation, maintenance, and development of Nispera’s reporting system, which delivers metrics, KPIs, and alerts for batteries and renewable assets to evaluate performance and detect potential performance issues.
•Create automated reports and implement feature enhancements that provide our customers with insightful visualizations and a comprehensive overview of their assets, tailored to their specific needs.
•Contribute to the development of advanced analytics and ML / AI models for batteries and renewable assets, e.g., for forecasting or predictive maintenance applications.
•Collaborate effectively with cross-functional teams to understand requirements, build robust reports and models, and ensure seamless integration into the Nispera platform.
What will our ideal candidate bring to Fluence?
Must have:
•Bachelor’s degree in a relevant field (e.g., Data Science, Computer Science, Mathematics).
•5+ years of professional experience in data science, data / software engineering, operations research, or related roles, preferably in the energy sector.
•Excellent programming skills in Python and SQL, with experience in reporting and the use of 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.
Nice to have:
•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.
