Specialist, Data Verification and Analysis

Scout Motors • Blythewood, SC

14h • $100,000 - $125,000 • Onsite

About The Position

This position is in the Pilot Hall organization, which facilitates collaboration between R&D and Production. Identify, analyze, root cause, and resolve issues during the vehicle commissioning process within a production environment. You will be responsible for the analysis of all data involved with electronic vehicle commissioning, SW validation, and overall metrics tracking. Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace.

Requirements

• Minimum 4 years of professional experience with experience in automotive preferred
• Bachelor’s degree in automotive technology, mechanical, electrical, software engineering or related field. An equivalent amount of relevant work experience may be considered in lieu of a degree.
• Knowledge of engineering processes and understanding of manufacturing processes. Preferably in automotive
• Proficiency in advanced programming languages such as C++, C#, Java or similar preferred
• Experience with tools to process and interpret CAN, LIN, or Ethernet data. (like CANalyzer/CANoe, Vector, etc.)
• Experience in data analysis and data mining techniques.
• Exposure to HIL testing/test automation is preferred
• Proficient in analytical and conceptual thinking, employing logic and reason in both creative and strategic contexts.
• Demonstrated ability in creative and strategic problem-solving, with experience troubleshooting vehicle systems.
• Ability to work independently and in a structured manner, displaying a high level of commitment, effective communication and teamwork skills.
• Proficiency in reading and understanding electrical schematics.

Responsibilities

• Support proper implementation and testing of software, functions, and diagnostics tests on the shop floor.
• Quantify data results from the software verification process throughout the product lifecycle.
• Produce data driven validation analysis of commissioning, functional, and diagnostic errors. Reporting out to validation team to help develop measures to address them.
• Production focused development of guided fault-finding steps within commissioning stations throughout the production line. Communicating often with the after-sales diagnostics team.
• Help generate reports, evaluations, and key figures, emphasizing error evaluations from databases.
• Collaborate in cross-functional teams to identify immediate and long-term measures for improving quality and efficiency across the organization.
• Document and interpret analysis results within a larger context, drawing general conclusions, and identifying actionable insights to enhance processes and systems.
• Internally track defects to oversee their resolution and identify trends or recurring issues requiring systematic address.
• Collaborate with validation engineers to translate test outcomes into actionable feedback and visualize large datasets (CAN logs, sensor data, ECU traces).
• Support in the creation of dashboards and/or utilize reporting tools to monitor system health and regressions over time.
• Help develop scalable solutions for validation data storage, querying, and retrieval as the test volume grows.
• Utilize Ai or other methods for process optimization in guided fault finding, validation testing, continuous improvement and issue resolution.
• Installation and troubleshooting of loggers and other data recorders for all the test assets within the V and V team.

Benefits

• Competitive insurance including: Medical, dental, vision and income protection plans
• 401(k) program with: An employer match and immediate vesting
• Generous Paid Time Off including: 20 days planned PTO, as accrued
• 40 hours of unplanned PTO and 14 company or floating holidays, annually
• Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
• Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave
• Pay Transparency

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level