Data Scientist - Battery Systems

Key Skills

Algorithms, AWS, C++, Data Analysis Expressions- DAX, Effective communication skills, ETL frameworks, ETL/ELT technologies, Github, JIRA, Machine learning techniques, MATLAB Programming, Microsoft Office suites, Microsoft-Excel, PowerBI, Python Programming, R Programming, SAP, Scala Programming, Simulink, Snowflake, SQL, Tableau

Job Description

The Battery Data Scientist will lead and contribute to all aspects of the development of Battery Analytics products. This includes but is not limited to the development of data pipeline, novel battery analytics algorithms and their validation, and the design and implement AI-powered smart Battery Management Systems (BMS) products. We welcome applications from diverse multi-disciplinary battery research and data science background.

Responsibilities

• Leads as one of the battery data scientists in the team to meet immediate and long-term battery data analysis requests.
• Helps the team in agile development, test, and validate state-of-the-art estimation, prediction, and statistical inference algorithms in battery systems.
• Contributes to data pipeline requirements of energy storage systems.
• Applies (or develops if necessary) pipelines and tools to efficiently collect, clean, and prepare massive volumes of data for analysis with minimal guidance.
• Interprets results and develops insights into formulated problems within the business/customer context.
• Acquires and uses broad knowledge of innovative battery state estimation/ prediction/ fault detection methods, algorithms, and tools from the scientific literature and applies his/ her own analysis of scalability and applicability to the formulated problem.
• Helps in developing long-term battery analytics strategy and roadmap.
• Effectively collaborates and communicates with the team members, product owners, product managers, as well as marketing and sales teams, customers, and leadership.

Required Experience and Skills

• Master’s (or PhD) in computer science (or related fields) and 3 years of experience in Artificial Intelligence (AI) and Machine Learning (ML), Data Science, Data Engineering, Data Mining, ML Operations (MLOps), and related fields.
• Working knowledge of statistics, time series forecasting, feature engineering, regression, classification, clustering, outlier detection, reinforcement learning, few shot learning, multidimensional Kalman filtering, extended Kalman filters, optimization, and causal inference.
• Staying up to date with novel AI algorithms and tools and implement them whenever required.
• Programming fluency in Python (and especially data science/visualization related packages).
• Working knowledge of AWS and ML platforms, Snowflake, and Power BI Dashboard.
• Working in agile software development cycles and version control tools such as Jira and Github.
• Strong problem-solving skills, with the ability to combine theory with empirical observation.
• Interacting effectively and in an open, ethical, and trustworthy manner with internal and external stakeholders.
• Staying proactive, self‐motivated, persistent, hands‐on, goal- oriented, and team-oriented, and work in a fast-paced, US-based, and diverse environment.
• Strong written and oral communication and ability to document technical findings.
• Willingness and desire to lead technical teams and product development team.
• Developing test plans and QA procedures for algorithm/code verification and validation

Desired Experience and Skills

• PhD or Master’s in Materials Science, Chemical Engineering, Mechanical Engineering, Power Systems or related fields with deep understanding of lithium-ion electrochemistry effects as applies to simulation and modeling with track records of peer-reviewed publications/patents.
• Peer-reviewed record of publications in machine learning and artificial intelligence peer-reviewed journals and conferences/patents.
• Experience and knowledge in Battery System State (State of Charge (SOC), State of Health (SOH), State of Functionality (SOF), State of Power (SOP), SOx, Capacity) estimation, battery safety, internal cell temperature and thermal gradients, internal resistance, balancing, accelerated testing, open circuit voltage (OCV) prediction with hysteresis, Randles equivalent circuits, single particle models, Ficks law of diffusion, age modeling, and battery life degradation algorithms.
• Ability to develop and verify physics-based and empirical battery models to support algorithm needs.
• Validation of the algorithms in Model-in-the-loop (MIL) and Hardware-in-the-loop (HIL) settings and/or a lab.
• Experience with Tableau, SQL, R, Perl, Scala, JMP, Octave, Matlab, Simulink, C++, and Go.
• Familiarity with data acquisition systems.
• Experience with firmware and embedded systems for Battery Management Systems (BMS).
• 3 to 5 years of industrial experience in battery systems.

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.