Specialist, Field Monitoring - Technical Field Data

Scout Motors • Blythewood, SC

5h • Onsite

About The Position

As a Field Monitoring Quality Specialist, you will act as a strategic partner, diving deep into vehicle and field data to identify issues that may impact customer experience and vehicle performance. Your insights will enable early detection and proactive resolution of potential concerns, helping improve product quality while strengthening customer trust and brand reputation. In this critical role, you will help design and implement solutions to monitor and integrate data from diverse communication channels including customer surveys, social platforms, and connected vehicle telemetry to create a comprehensive view of field performance. We are looking for someone who thrives in complex, high-volume data environments and can uncover meaningful insights from ambiguity. Partnering closely with engineering teams, you will play a key role in identifying product issues, guiding investigations, and ensuring teams focus on the most critical data to accelerate resolution and protect both our customers and brand reputation. Your work will have a direct impact on product development, system engineering, and the resolution of complex warranty and quality issues across our vehicle portfolio.

Requirements

• A bachelor’s degree in engineering, computer science and/or data science.
• 5+ years in an environment related to technical data processing, preferably within a vehicle manufacturer or supplier environment. Relevant experience in other sectors will also be considered.
• Experience in automotive engineering, quality, or field issue analysis, ideally in EV or connected vehicle environments
• Hands-on experience with data analytics tools and large datasets (e.g., Databricks, SQL, Python, cloud platforms)
• Experience in running Java Script, Python, SQL, HTML/CSS
• Experience in deploying AI-based solutions and tools for data processing. Ability to build full-scale AI-powered products from scratch using available open AI
• Familiarity with AI/ML concepts and applications in anomaly detection or predictive analytics
• Understand data warehouse systems like Basic AWS or Azure data services or Databricks. Ability to support enterprise projects on as need basis.
• Strong understanding of vehicle systems (powertrain, battery, diagnostics, telematics)
• Ability to work across functions and translate data insights into engineering actions
• Experience working with customer feedback systems and VoC analytics
• Experience with PBI and PowerApps, building app own-made solutions for data analytics.
• Strong interpersonal skills, with experience working in multicultural and team-oriented environments.

Responsibilities

• Serve as a VoC quality expert, ensuring timely and accurate feedback loops into engineering
• Design and implement customer surveys and feedback frameworks to assess product satisfaction
• Analyze large volumes of unstructured data (social media, web forums, call center logs, customer verbatims) to identify key customer pain points and trends
• Support end-to-end root cause analysis (RCA) of customer issues across full vehicle systems, including powertrain, high-voltage battery, and connected features
• Identify patterns in fleet data to enable early detection of emerging quality issues
• Drive faster resolution through data-driven insights and cross-functional collaboration
• Define and implement strategies for collecting, organizing, and analyzing large-scale connected vehicle data
• Partner with engineering teams to establish vehicle data policies, signal strategies, and telemetry requirements
• Perform advanced data analysis to correlate vehicle behavior, software versions, and customer-reported issues
• Develop and deploy AI/ML models for anomaly detection, failure prediction, and sentiment analysis
• Leverage analytics to improve customer satisfaction, reliability, and warranty performance
• Act as the bridge between software-defined vehicle data policies and real-world engineering insights
• Ensure data pipelines are robust, accurate, and actionable
• Enable a VIN-level (Vehicle 360) view for comprehensive lifecycle traceability
• Work closely with Vehicle engineering (hardware & software), Connected vehicle and app development teams, Service, warranty, and customer support organizations
• Enhance data collection capabilities, user interfaces, and reporting standards across systems

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
• Annual performance bonus program

What This Job Offers

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