The posting
Job Description
The Role
The GM Quality Connected Customer Continuous Improvement team is seeking a data scientist to support digital transformation and AI enablement efforts. The individual will work as a member of a team with deep experience in GM’s quality issue management and warranty systems. The individual will bring a data science toolkit and innovative spirit to generate ideas and execute projects that improve overall efficiency of quality business processes. The work will generally consist of listening to/framing stakeholder problems, creation of new data pipelines, building of Artificial Intelligence / Machine Learning (AI/ML) solutions, and development of accompanying user interfaces that enable implementation of solutions for direct decision support.
What You’ll Do
- Work as a member of a cross-functional team to propose and implement high-impact data driven analytic solutions that address challenges for quality teams. Apply Data Science and Modeling techniques to drive data driven decision making and solve complex problems:Build predictive/prescriptive models and machine-learning algorithms Analyze large amounts of diverse information to discover trends and patterns Undertake preprocessing of structured and unstructured data Monitor and sustain model effectiveness Present complex information using data visualization techniques Work with diverse technical teams to provide analytical dataset pipelines and user interfaces to ensure project deliverables fulfill business needs and timing Create technical documents for models and processes Present complex information using data visualization techniques and data storytelling Create repeatable and scalable code and processes for improving development/execution efficiency.
Your Skills & Abilities (Required Qualifications)
- Bachelors Degree in Data Science, Analytics, Operations Research, Engineering, Business, Statistics, Economics, Computer Science, Applied Mathematics or another quantitative field 2 years of experience as a Data Scientist, or related Experience with developing, deploying, and monitoring performance of large analytic data sets or machine learning based models Tool Proficiencies:Python or similar coding languages SQL, Spark, or similar querying languages Power BI, Tableau, or similar visualization tools DataBricks or similar Data Lake technology platforms Capable of working with diverse technical teams to produce analytical datasets for analysis Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality Strong listening and communications skills Highly collaborative work style Ability to evaluate the big picture and provide meaningful business insights and actions
What Can Give You a Competitive Advantage (Preferred Qualifications)
- Domain knowledge of quality processes & data (issue management, warranty reduction, warranty recovery, and similar)
- Experience building agents and automation within the Atlassian toolsuite
- Master's/Ph.D. degree in Computer Science, Business, Statistics, Mathematics, or a related field


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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

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


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