Specialist, Data Verification and Analysis

Scout Motors • Blythewood, SC

1d • $80,000 - $97,500 • Onsite

About The Position

Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again.
But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work.
The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range.
At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion.
Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now!
What you’ll do
Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

Requirements

• 2+ years of professional experience with experience in automotive preferred
• Bachelor's in automotive technology, electrical, software engineering or equivalent field. Master’s is a plus. 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.
• 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.

Nice To Haves

• Exposure to HIL testing/test automation is preferred

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 Validation and Analysis 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

What This Job Offers

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