Data Scientist

Job Description

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 onsiteto support project needs. At GM we believe work-life harmonization is essential to a team members 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 Youll 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):

• Bachelors 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):

• Masters or Advanced Degree

This job is not eligible for relocation relocation costs would be the responsibility of the selected candidate.

About GM

Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.

Why Join Us

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.

Benefits Overview

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Non-Discrimination and Equal Employment Opportunities (U.S.)

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.

All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.

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.

Accommodations

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