Specialist, Data Analytics - Technical Field DataHere 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 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.Field Issue Detection & ResolutionSupport end-to-end root cause analysis (RCA) of customer issues across full vehicle systems, including powertrain, high-voltage battery, and connected featuresIdentify patterns in fleet data to enable early detection of emerging quality issuesDrive faster resolution through data-driven insights and cross-functional collaborationData Strategy & Analytics:Define and implement strategies for collecting, organizing, and analyzing large-scale connected vehicle dataPartner with engineering teams to establish vehicle data policies, signal strategies, and telemetry requirementsPerform advanced data analysis to correlate vehicle behavior, software versions, and customer-reported issuesAI/ML & Advanced AnalyticsDevelop and deploy AI/ML models for:Anomaly detectionFailure predictionSentiment analysisLeverage analytics to improve customer satisfaction, reliability, and warranty performanceData Management & IntegrationAct as the bridge between software-defined vehicle data policies and real-world engineering insightsEnsure data pipelines are robust, accurate, and actionableEnable a VIN-level (Vehicle 360) view for comprehensive lifecycle traceabilityCross-Functional CollaborationWork closely with:Vehicle engineering (hardware & software)Connected vehicle and app development teamsService, warranty, and customer support organizationsEnhance data collection capabilities, user interfaces, and reporting standards across systemsCustomer Insight & Voice of Customer (VoC)Serve as a VoC quality expert, ensuring timely and accurate feedback loops into engineeringDesign and implement customer surveys and feedback frameworks to assess product satisfactionAnalyze large volumes of unstructured data (social media, web forums, call center logs, customer verbatims) to identify key customer pain points and trendsLocation & Travel Expectations:This role will be based out of the Scout Motors location in Blythewood, South Carolina.This role requires In-Person Attendance: Daily / Mutually agreed with ManagerApplicants 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 is preferred.Experience from non-automotive would also be acceptable with the ability to absorb meta data to perform root cause analysis.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/CSSExperience in deploying AI-based solutions and tools for data processing. Ability to build full-scale AI-powered products from scratch using available open AIFamiliarity with AI/ML concepts and applications in anomaly detection or predictive analyticsUnderstand data warehouse systems like Basic AWS or Azure data services or Databricks. Ability to support enterprise projects on as need basis.Ability to work across functions and translate data insights into engineering actionsExperience 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 plans401(k) program with an employer match and immediate vestingGenerous 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 leavePay 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.