Battery Data Scientist

Overview

Battery Data Scientist role within Fluence’s Battery Systems and Analytics team, focused on advancing battery analytics and improving data-driven product offerings.

What you'll do

• Develop advanced analytics, KPIs, and alerts from operational battery data to assess performance and detect issues.
• Build, train, and maintain first-principles ML/AI and optimization models for battery performance assessment and control.
• Create visualizations and reports to communicate model results, performance metrics, and key findings to stakeholders.
• Collaborate with product managers and other data scientists to align on technical requirements.
• Work with software engineers to integrate developed models into Fluence’s platforms.

What you'll need

• Bachelor’s degree in a relevant field with 3 to 7+ years of professional experience.
• Professional experience in data science, data/software engineering, controls, operations research, or related energy-sector roles.
• Programming skills in Python (or comparable) with scientific libraries including NumPy, Pandas, Scikit-learn, TensorFlow, Pyomo, and Plotly.
• Proven experience developing scalable, maintainable, production-grade analytics solutions with software engineering teams.
• Proficiency in statistical analysis, ML/AI models, and/or mathematical optimization.
• Solid understanding of the energy sector, including familiarity with battery storage and renewable energy technologies.