Data Scientist

Ford Motor Company is hiring a Data Scientist (hybrid) in Dearborn, MI to design and productionize LLM-powered, generative AI, and agentic AI capabilities for enterprise and customer-facing use cases.

Role Overview

In this position, you will build reliable AI applications supported by robust evaluation frameworks and responsible AI controls, then deploy scalable solutions on Google Cloud Platform (GCP). You will collaborate across product, engineering, analytics, and business teams to translate complex needs into intelligent, production-ready AI systems.

Key Responsibilities

• Design, prototype, evaluate, and productionize LLM-powered applications for enterprise and customer-facing use cases.
• Develop prompt strategies, structured-output workflows, model routing, context management approaches, and fine-tuning or adaptation methods when appropriate.
• Build rigorous LLM evaluation frameworks covering task quality, factuality, relevance, robustness, latency, cost, safety, and user experience.
• Explore and implement agentic AI patterns including planning, tool and function calling, memory, reflection, human-in-the-loop approvals, and multi-step workflow execution.
• Develop and deploy scalable AI and machine learning solutions on GCP using services such as Vertex AI, BigQuery, Cloud Storage, Cloud Run, Cloud Functions, Pub/Sub, and related data and AI services.
• Create reusable Python components, APIs, experimentation pipelines, and data products that integrate with enterprise platforms and applications.
• Create and maintain data pipelines that prepare structured and unstructured data for modeling, experimentation, evaluation, and production.
• Perform exploratory analysis, feature engineering, statistical modeling, and machine learning to support broader data science needs.
• Implement observability, monitoring, guardrails, automated testing, and feedback loops to improve model and application performance after deployment.
• Communicate technical findings, tradeoffs, risks, and recommendations clearly to both technical and non-technical stakeholders.
• Stay current with emerging generative AI methods and translate promising research into practical business value.

Required Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or similar field, or equivalent combination of relevant education and experience.
• 2+ years of experience applying statistical analysis and traditional machine-learning methods to solve business problems.
• 2+ years of experience delivering end-to-end data science solutions from data exploration and feature engineering through model validation, deployment, and monitoring.
• 2+ years of professional experience in data science, machine learning, applied AI, natural language processing, or a related technical role.
• 2+ years of Python programming and SQL proficiency; ability to write maintainable, testable, production-quality code.
• 1+ years of experience developing applications with commercial or open-source LLMs.
• 1+ years of experience with prompt engineering, LLM evaluation, model integration, and core NLP concepts.
• 1+ years of experience working with GCP data and AI services, particularly Vertex AI and BigQuery, or comparable experience on another major cloud platform with ability to transition to GCP.
• 1+ years of experience with modern software development and cloud deployment practices, including Git, APIs, containers, CI/CD, identity and access management, and production monitoring.

Technologies

• Python, SQL
• Google Cloud Platform (GCP), Vertex AI, BigQuery
• Cloud Storage, Cloud Run, Cloud Functions, Pub/Sub
• Git, APIs, containers, CI/CD, identity and access management
• Natural language processing (NLP)

Benefits

• Immediate medical, dental, vision and prescription drug coverage.
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more.
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more.
• Vehicle discount program for employees and family members and management leases.
• Tuition assistance.
• Established and active employee resource groups.
• Paid time off for individual and team community service.
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day.
• Paid time off and the option to purchase additional vacation time.

Additional Information

• Salary grade 7 or 8, with a range of USD 99,600 to 192,900 per year.
• Final salary grade determination is based on skills and experience, with base salary set within the applicable range according to job scope, responsibility, and competitive market value.