Data Analysis and Battery Testing Electrical Engineer at SAIC
Crane, IN 47522, USA -
Full Time


Start Date

Immediate

Expiry Date

23 Nov, 25

Salary

0.0

Posted On

23 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Matlab, Computer Science, Version Control, Code, Communication Skills, Power Bi, R, Github, Sql, C++, Labview

Industry

Electrical/Electronic Manufacturing

Description

Job ID: 2508853
Location: CRANE, IN, US
Date Posted: 2025-08-22
Category: Engineering and Sciences
Subcategory: Electrical Engr
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: Interim Secret
Clearance Level Must Be Able to Obtain: Secret
Potential for Remote Work: No
Description
SAIC is looking for a Data Analysis and Battery Testing Electrical Engineer to support the US Navy in Crane, IN.

REQUIRED EXPERIENCE AND CLEARANCE:

  • Bachelor’s degree in Electrical Engineering or a related field with 2 or more years of experience, or a Master’s degree in Electrical Engineering or a related field with 0 years of experience
  • Effective communication skills with all levels of personnel; able to work independently and as part of a team
  • Interim Secret clearance required to start, with the ability to obtain a Secret clearance. SAIC will sponsor the process
  • US Citizenship

DESIRED EXPERIENCE:

  • Proficiency in LabView, MatLab, and C++
  • Prior experience supporting DoD and/or NSWC Crane
  • Strong Computer Science skills to develop and maintain data pipelines using Power BI, R, Python, SQL, etc., and implement quality control checks
  • Experience with GitHub and Microsoft DevOps for version control of code
  • Ability to apply practical physicist and electrical engineering skills to testing tasks
Responsibilities
  • Support airborne lot testing and space applications, including programming files and assisting with vibration testing
  • Become proficient in battery test methods, including monitoring points, switching, circuit protections, wattage management, and time correlation
  • Apply practical physicist application focus to engineering tasks, avoiding theoretical approaches
  • Conduct Big Data analysis to obtain predictive analysis, identify indicators of known and emerging failure modes, and better predict end-of-life characteristics of lithium-ion aircraft and space cells/batteries, ensuring a comprehensive understanding of various battery chemistries
  • Assist other analysts in utilizing analytic platforms as needed
  • Present findings, approaches, and processes to team members
    Qualifications
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