ML Data Scientist - Batteries

Preferred Qualifications

Master’s degree, PhD or equivalent job-related experience in Mechanical Engineering, Material Engineering, Electrical Engineering, Computer Science or relevant Proven experience in statistical analysis, data mining, and causal inference methodologies Advanced proficiency in big data processing, PyTorch, visualization and automated workflow Hands-on experience with machine learning algorithms including ensemble methods, probabilistic networks, association rules, clustering, regression, neural networks, and large language mode Strong analytical problem-solving abilities to address urgent ad-hoc requests by integrating engineering knowledge with advanced analytics and ML techniques across diverse data sources Demonstrated expertise in anomaly detection techniques for time series and multivariate dataset Self-motivated contributor who proactively collaborates across functions and develops innovative solutions beyond existing toolsets Excellent communication skills with ability to explain complex technical concepts (particularly causal inference) to diverse audiences including data scientists, design engineers, and business stakeholders Battery technology experience strongly preferred