Advanced Battery Analytics Expert
2 weeks ago
The Advanced Battery Analytics Expert at Fluence will play a pivotal role in developing and refining our cutting-edge Battery Analytics products. This involves creating advanced data pipelines, troubleshooting analytics algorithms, and designing AI-powered Battery Management Systems (BMS) for optimal performance. We seek applicants with diverse backgrounds in battery research and data science.
Responsibilities:
• Contribute to the development of state-of-the-art estimation, prediction, and statistical inference algorithms for battery systems.
• Collaborate with the team to design and implement data pipelines for energy storage systems.
• Develop and apply data extraction, processing, and analysis tools to derive insights from massive datasets.
• Utilize data-driven approaches to inform decisions regarding battery system performance and efficiency.
• Effectively communicate and collaborate with team members on agile development projects.
Requirements:
• Bachelor's or Master's degree in Computer Science or related fields with a background or passion in Data Science, Statistics, Data Engineering, Data Mining, ML Operations (MLOps), and related fields.
• Strong programming skills in Python, particularly in data science and visualization packages.
• Experience with agile software development cycles, version control tools like Jira and GitHub, and familiarity with AWS and ML platforms.
• Strong problem-solving skills, with the ability to combine theoretical knowledge with empirical observation, especially in a statistical context.
• Excellent communication and interpersonal skills, with the ability to work in a fast-paced, diverse environment.
Desired Qualifications:
• Experience with Tableau, SQL, R, Perl, Scala, JMP, Octave, Matlab, Simulink, C++, Julia, and Go.
• Familiarity with data acquisition systems and battery system state estimation (State of Charge, State of Health, State of Balance, State of Energy, SOx, Capacity) algorithms.
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