Data Scientist

Description
This is a unique opportunity to join a multi-disciplined team of experienced individuals who drive the opportunity identification and solution design, development, and deployment of advanced analytics across the global enterprise. The team is responsible both for analytics strategy and project-based solutions, focusing on the company's most critical business areas.
As a Scientist, you will be responsible for working on a team seeking to solve GM's most pressing challenges using AI, Machine Learning, and other Advanced Analytics methodologies. You will be responsible for the entire data science lifecycle process across multiple product workstreams, from initial investigation, to proof-of-concept development, to productionization and deployment, to final enhancement, hardening and maintenance.
What You'll Do:

• Work as a member of a cross-functional team to implement high-impact data driven analytic solutions that address business challenges across a variety of business units.
• Develop predictive and prescriptive models and machine-learning algorithms.
• Analyze large amounts of diverse information to discover trends and patterns.
• Create end-to-end CICD pipelines in both cloud and on-prem environments.
• Develop UI applications to deliver insights to business clients.
• Undertake preprocessing of structured and unstructured data.
• Monitor and sustain model effectiveness.
• Present complex information using data visualization techniques.
• Create repeatable and scalable code bases and processes for improving development/execution efficiency.

Your Skills & Abilities (Required Qualifications)

• A degree in computer science, engineering, statistics, mathematics, physics or a related degree (MS or Ph.D. preferred).
• A minimum of 3 years working as a data scientist or application developer (2 years with MS).
• Expertise in Python, Databricks and other cloud-based data science platforms, and proficiency in SQL.
• Expertise across multiple domains of forecasting, clustering, classification, econometrics, optimization, Bayesian statistics, neural networks, deep learning, natural language processing, LLMs, and other machine learning and AI methodologies.
• Strong interpersonal and communication skills and demonstrated working experiences with cross-function product teams.

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Extensive Databricks experience.

Additional Description
This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX or Warren, MI three times per week, at minimum.
This job may be eligible for relocation benefits.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
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About GM
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Why Join Us
We aspire to be the most inclusive company in the world. 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, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
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Diversity Information
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 workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. 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
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Accommodations (U.S. and Canada)
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