Specialist, Quality Data Engineer

In the role of Specialist, Quality Data Engineer at Scout Motors, you'll be tasked with identifying impactful quality-related big data use cases that enhance customer satisfaction and reduce warranty payments. You'll collaborate with our R&D and IT teams to conceptualize and implement Machine Learning models that address business needs while ensuring the architecture of data warehouses and lakes promotes data accessibility and quality.

To be considered for the Specialist, Quality Data Engineer role at Scout Motors, candidates should possess a Bachelor’s Degree in Computer Science, Software Engineering, or related fields. Ideally, you will have at least 5 years of experience in automotive engineering or quality management, with a focus on Quality Management Systems (QMS). Strong programming skills in languages such as Python and SQL are essential, alongside experience with Machine Learning models in an industrial context.

Communication is pivotal for a Specialist, Quality Data Engineer at Scout Motors. As you will work closely with cross-functional teams, effective interpersonal, presentation, and writing skills are crucial for conveying complex data insights and collaborating on projects. You'll engage with various levels of the organization, making your ability to communicate clearly and persuasively a key asset.

As a Specialist, Quality Data Engineer at Scout Motors, you can expect to work on innovative projects that leverage big data and Machine Learning to optimize customer experiences and operational efficiencies. Your projects will involve defining and deploying models that generate actionable insights, thereby directly contributing to the enhancement of quality management practices within the automotive domain.

The Specialist, Quality Data Engineer position at Scout Motors is based in our Novi, Michigan office. You'll be expected to attend in-person meetings and participate in collaborative events with colleagues, fostering a dynamic teamwork environment.

When discussing your experience with Quality Management Systems, focus on specific examples where you've managed or improved QMS processes. Highlight how your actions led to tangible improvements in product quality and customer satisfaction, emphasizing any metrics or data that illustrate your impact.

In answering this question, detail specific Machine Learning projects relevant to the automotive industry. Describe the goals, the methodologies you used, and how the outcomes benefited the company or various stakeholders. Sharing the insights gained from these projects will underscore your technical competence.

Discuss your approach to ensuring data quality, such as implementing data governance practices, conducting regular audits, and using various tools for data validation. Providing examples of past situations where you identified and resolved data quality issues would be beneficial.

In your response, narrate an instance where you successfully managed multiple assignments with competing deadlines. Focus on the strategies you employed, such as prioritization techniques or project management tools, and the successful outcomes that resulted from your efforts.

Your answer should convey your understanding of data architecture principles. Discuss elements such as scalability, accessibility, and security in data architecture. Providing real scenarios where you've designed or contributed to data architecture will demonstrate your expertise.

When discussing programming languages, mention those relevant to the technical needs of the Specialist, Quality Data Engineer role. Provide examples of projects where your programming skills, such as in Python or SQL, were instrumental in achieving project goals.

Emphasize your belief in the value of collaboration and share specific tactics you use to foster teamwork. Discuss experiences where effective collaboration led to project success and how you navigate differing viewpoints within a team.

Illustrate your problem-solving process for data-related challenges. Discuss any frameworks or systematic approaches you follow, and share an example of a complex problem you faced and how you resolved it. Your answer should highlight analytical and critical thinking skills.

Share a specific example of how your analysis of data led to actionable insights that influenced a business decision. Explain the context, your analytical methods, and the ultimate impact your contributions had on the business outcomes.

Express your enthusiasm for the automotive industry, particularly in the context of electric vehicles and innovation. Relate this excitement to Scout Motors' mission and how the opportunity aligns with your career goals and values, particularly regarding sustainability and community respect.