Data Scientist

Talentify; Warren (MI); Hybrid; USD 90,000 - 140,000; Full time

Job summary

General Motors seeks a data scientist to support digital transformation and AI enablement in the GM Quality Connected Customer CI team. You’ll frame problems, build data pipelines, develop AI/ML solutions, and create interfaces for decision support to improve quality processes.

You will collaborate with diverse teams, deploy scalable analytics, visualize results, and document models while ensuring ongoing model performance and business impact.

Qualifications

• Bachelors Degree in a quantitative field such as Data Science, Analytics, Engineering or Statistics.
• 2 years of experience as a Data Scientist or related role.
• Experience deploying and monitoring large analytic data sets or ML models.
• Proficiency with Python, SQL, Spark and visualization tools (Power BI/Tableau).
• Experience creating data pipelines and developing AI/ML solutions.

Responsibilities

• Work within a cross-functional team to deliver data-driven analytic solutions for quality teams.
• Develop predictive/prescriptive models and ML algorithms; analyze large diverse data sets.
• Prepare data pipelines and user interfaces to meet business needs and timelines.
• Create technical documents for models and processes; present findings via data storytelling.

Skills

Data science

Stakeholder listening

Team collaboration

Problem framing

Education

Bachelor's degree in quantitative field

Tools

Python

SQL

Spark

Power BI

Tableau

Databricks

Job description

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.

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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