Job Description

• Develop data automation tool for collection, processing, and storing lab data.

• Set up, maintain, and monitor continuous operation devices in labs.

• Develop test scripts for various devices.

• Maintain software revisions through GitHub.

• Build ETL for telemetry field dataset and automate data integrity and optimization routines for automatic reporting, analysis, and error detection.

• Analyze user and experimental data and use engineering and analytical understanding to resolve battery problems.

• Provide ad-hoc analysis as necessary.

Key Qualifications

• 1+ years of experience in software engineering/data science engineering.

• Proficient in Python for data processing and analysis tool development.

• Proficient in Linux/Unix (Bash and Shell).

• Proficient in revision control software such as GitHub.

• Strong working knowledge in designing, building, and maintaining data ETL pipeline.

• Experience in SQL.

• Experience in database modeling and data warehousing principles.

• Familiarity with job scheduling system.

• Experience in data science and analytics, statistical analyses, A/B testing and conducting experiments and investigations in large-scale usage data environment.

• Self-started with a proven ability to handle multiple tasks with strict deadlines.

• Proven creativity to go beyond current tools to deliver best solution to the problem.

• Outstanding problem solving, critical thinking and interpersonal skills.

Desirable

• Hands-on laboratory experience.

• Experience with OS, such as iOS, MacOS, etc.

• Basic knowledge in Battery Engineering.

• Experience in Tableau.

• Experience in machine learning techniques.