Battery Data Scientist (Contractor)我司要招人
jjheeee
JD: Job Title: Data Scientist
Location: Cupertino, CA
Onsite/Offsite: Onsite
Hours worked per week- 40
Targeted start date: 11/1/2026
Key Qualifications:
0-2 years as data scientist, data engineer or analyst. Battery Engineering experience desired. Working knowledge and experience with big data.
Strong working knowledge of Python, Unix tools, Perl, Github and Tableau.
Candidate must have solid competency in statistics and the ability to provide value-added analysis.
Self-starter with entrepreneurial experience and ability to interact with other functions in matrix environment. Proven creativity to go beyond current tools to deliver best solution to the problem. Familiarity with database modeling and data warehousing principles.
Proficient in applying AI tools (e.g., LLM-based assistants, Claude Code, Gemini) to accelerate problem-solving; demonstrated ability to build and maintain reusable AI-powered skills, workflows, or automation pipelines.
Job Description:
Write Python programs to implement Machine Learning functions and maintain revision in Github. Utilize advanced technologies, for modeling enhancements
Drive development of data products in collaboration with data scientists and analysts. Automate reporting where possible to make team more efficient
Be able to analyze factory, user, and failure data and use engineering understanding mechanisms to resolve battery problems.
Deliver high quality analytic insights from a very data warehouse Provide ad-hoc reporting as necessary (sometimes urgent escalation)
Write programs for data filtering, organization, reporting. Write programs for uploading to and maintaining data in SQL database. Develop basic data management and selection programs on SQL.
Education: BS or MS in Battery Engineering, Machine Learning, Statistics, ME, Material, EE, CS.
Contact: jjh63816@gmail.com
Location: Cupertino, CA
Onsite/Offsite: Onsite
Hours worked per week- 40
Targeted start date: 11/1/2026
Key Qualifications:
0-2 years as data scientist, data engineer or analyst. Battery Engineering experience desired. Working knowledge and experience with big data.
Strong working knowledge of Python, Unix tools, Perl, Github and Tableau.
Candidate must have solid competency in statistics and the ability to provide value-added analysis.
Self-starter with entrepreneurial experience and ability to interact with other functions in matrix environment. Proven creativity to go beyond current tools to deliver best solution to the problem. Familiarity with database modeling and data warehousing principles.
Proficient in applying AI tools (e.g., LLM-based assistants, Claude Code, Gemini) to accelerate problem-solving; demonstrated ability to build and maintain reusable AI-powered skills, workflows, or automation pipelines.
Job Description:
Write Python programs to implement Machine Learning functions and maintain revision in Github. Utilize advanced technologies, for modeling enhancements
Drive development of data products in collaboration with data scientists and analysts. Automate reporting where possible to make team more efficient
Be able to analyze factory, user, and failure data and use engineering understanding mechanisms to resolve battery problems.
Deliver high quality analytic insights from a very data warehouse Provide ad-hoc reporting as necessary (sometimes urgent escalation)
Write programs for data filtering, organization, reporting. Write programs for uploading to and maintaining data in SQL database. Develop basic data management and selection programs on SQL.
Education: BS or MS in Battery Engineering, Machine Learning, Statistics, ME, Material, EE, CS.
Contact: jjh63816@gmail.com
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