What you'll doAs 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.
Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:
Customer Insight & Voice of Customer (VoC)- 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
Field Issue Detection & Resolution - 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
Data Strategy & Analytics: - 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
AI/ML & Advanced Analytics - Develop and deploy AI/ML models for:
- Anomaly detection
- Failure prediction
- Sentiment analysis
Leverage analytics to improve customer satisfaction, reliability, and warranty performance:Data Management & Integration - 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
Cross-Functional Collaboration - 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
Location & Travel Expectations:
- This role will be based out of the Scout Motors location in Blythewood, South Carolina
- This role requires 4-5 days per week in the office, with regular in-person meetings and events.
- Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.
What you'll bringWe expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You'll be comfortable with change and flexible in a fast-paced, high-growth environment. You'll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring:
- Education/Certifications: A bachelor's degree in engineering, computer science and/or data science.
- Years of Experience: 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.
What you'll gainThe benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting - with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:
- 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 TransparencyThis is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.
Initial Base Salary Range: $95,000.00 - $120,000.00
Internal Leveling Code: IC9
Notice to applicants:- To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older.
- Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records.
- Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance.
- Residing in New York City: This role is not eligible for remote work in New York City.
