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Strong employer brand, popular data role, metro location and broad skills make applicant competition high.
Core data and Python skills are transferable across industries, though battery-testing domain adds moderate specificity.
Moderate technical requirements (Python, data analysis) but no explicit years means medium strictness in shortlisting.
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Own data collection and analysis for battery test datasets, including identifying key parameters and KPIs.
Develop scripts and prototype tools to support AI- or rule-based verification of battery test results and assist engineering investigations.
Collaborate with battery engineers and software teams to improve AI assistant usability, scalability, and robustness, documenting findings and recommendations.
Basic understanding of data analysis and engineering datasets.
Programming skills in Python or similar languages.
Experience working with raw, structured, and semi-structured data formats.
Work Experience Required: Not explicitly mentioned in the JD.
Experience or strong interest in AI, machine learning, or intelligent assistant technologies.
Ability to work across cross-functional teams including engineering and software, indicating collaboration-focused operating style.
Strong problem-solving skills with willingness to learn new engineering domains relevant to battery testing.