Sponsorship: GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Hybrid: This position allows flexibility utilizing our hybrid-work appropriately model where team members can work at the Detroit Headquarters requiring the team member to be onsite to support project needs. At GM, we believe work-life harmonization is essential to a team member’s success and job satisfaction
The Role: We are seeking a highly skilled and self-motivated Data Scientist to join our General Motor Audit Services team. The ideal candidate will apply advanced analytics, machine learning, and predictive modeling techniques to enhance audit processes, assess risk, and deliver actionable insights. You will work across teams to develop tools and models that support audit planning, fieldwork, and continuous monitoring, while contributing to the evolution of data-driven auditing practices.
What You'll Do:
Design, build, and implement predictive models and machine learning algorithms to identify risk indicators and support audit selection and scoping.
Develop risk assessment frameworks and anomaly detection tools to support internal audit objectives.
Collaborate with audit teams to understand business processes, identify relevant data sources, and translate requirements into data-driven solutions.
Extract, clean, transform, and analyze complex datasets using SQL, Python, and R .
Deliver high-quality visualizations and reports that communicate analytical findings to both technical and non-technical stakeholders.
Provide technical expertise in data science and audit analytics to support strategic audit planning and ongoing risk assessments.
Independently manage project timelines, deliverables, and stakeholder expectations.
Stay current with industry trends and advancements in data science, audit technology, and regulatory requirements
Your Skills & Abilities (Required Qualifications):
Bachelor’s Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
3+ years of experience in a data science, analytics, or audit-related role.
Proficiency in Python, R, and SQL for data analysis, modeling, and automation.
Solid understanding of predictive modeling , machine learning algorithms, and statistical techniques.
Familiarity with risk management frameworks , internal controls, and audit methodologies (e.g., COSO, SOX, or similar).
Experience working with structured and unstructured data from diverse sources.
Strong problem-solving skills and attention to detail.
Excellent verbal and written communication skills with the ability to explain complex concepts to non-technical audiences.
Demonstrated ability to work independently and manage multiple priorities in a fast-paced environment.
What Can Give You a Competitive Edge (Preferred Qualifications):
Master’s or Advanced Degree
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
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We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
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General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
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