Data-Driven Quality Engineer chez Scout Motors

About the team

The Production Quality Department within Scout includes Body Shop, Paint Shop, General Assembly and Central Quality Management Teams.  A Data-Driven Quality Senior Specialist at Scout Motors plays a pivotal role within the Quality Department by ensuring that data-driven insights inform and enhance quality management processes. This position focuses on leveraging data analytics to uphold and improve the quality standards of Scout Motors.

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:

• Ingest data from legacy and modern IT systems (e.g., JIRA, Confluence, on-prem/plant systems, SQL/NoSQL sources, flat files, APIs) into a Databricks lakehouse.
• Build robust ELT pipelines with Python, SQL, and PySpark; model data for analytics (Delta Lake, medallion architecture) and enforce governance with Unity Catalog.
• Implement automated data quality checks and reconciliation (e.g., Great Expectations/Deequ) and design lineage/observability for pipelines and jobs.
• Develop forecasting, anomaly detection, and root-cause analytics using Databricks ML, MLflow, and the Model Registry; operationalize models via batch jobs or inference endpoints.
• Create KPI calculations for manufacturing/quality (e.g., FPY, PPM, Cp/Cpk, SPC trends) and document them as a single source of truth.
• Visualize results in Sigma Computing and Power BI (including DAX measures), and deliver lightweight custom React web apps for interactive diagnostics.
• Orchestrate and productionize workloads with Databricks Workflows, implement CI/CD (Git/GitHub Actions/Azure DevOps), and write unit/integration tests (pytest).
• Cross-functional data & LLM alignment: Proactively coordinate with Production/Manufacturing (shopfloor, MES/MOM), Manufacturing IT, data owners/stewards, and the enterprise LLM/OpenAI platform team to ensure data availability, access, SLAs, and safe model functionality.

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Columbia, SC/ Blythewood, SC.
• The responsibilities of this role require daily attendance in office with in-person meetings and events regularly. 
• 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 or Master’s in Computer Science, Data/Industrial/Mechanical Engineering, or related field.
  • Nice to have: Databricks Data Engineer Professional and/or Machine Learning Professional.
• Years of Experience required in type of role: 4+ years in data engineering/analytics or ML engineering, including 2+ years hands-on with Databricks/Spark.
• Communication:
  • Ability to translate complex data and model outputs into clear business decisions for technical and non-technical audiences.
  • Ability to translate complex data and model outputs into clear business decisions for technical and non-technical audiences.

• Technical Proficiency:
  • Strong Python (pandas, PySpark) and SQL; performance tuning for Spark jobs and Delta Lake tables.
  • Databricks lakehouse expertise: Unity Catalog, Delta Live Tables (or equivalent pattern), MLflow, Feature Store, Model Registry.
  • Data integration: REST/JDBC connectors, OAuth/service accounts, batch & streaming (e.g., Auto Loader; Kafka/Kinesis a plus).
  • Data quality & governance: expectations/validation frameworks, lineage, access controls, secrets management, and auditability.
  • MLOps: experiment tracking, reproducible training, model packaging, CI/CD, monitoring/drift detection, safe rollback.
  • BI: Power BI (including DAX), Sigma Computing (including Sigma web apps).
  • Web applications: React + TypeScript, FastAPI/Flask, OAuth2, Docker, GitHub Actions CI/CD; integration with Databricks SQL & ML inference endpoints.
  • Orchestration & DevOps: Databricks Workflows, Git-based workflows, automated testing (pytest), code review.

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