Specialist, Data Analytics - Technical Field Data

Data & AIposted 3mo ago

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

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.

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

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

Location & 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 Manager
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 bring

We 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/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.
Ability to work across functions and translate data insights into engineering actions
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 gain

The 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 Transparency

This 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.

Equal Opportunity

Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law. Scout Motors is committed to compliance with all applicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.