Data Scientist

Ford Motor Company

Dearborn, MIFull time

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Location: Dearborn, MI
Job type: Full time
Posted: Oct 13; 6 days ago

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About the company

Ford Motor Company

Automotive · 10,001+ employees

Ford Motor Company on LinkedIn

What you'll do

Collaborate with product, engineering, analytics, and business teams
Translate complex business needs into intelligent, reliable, scalable, and production-ready AI solutions

What you need

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 professional experience in data science, machine learning, applied AI, natural language processing, or a related technical role.
2+ years of programming skills in Python and proficiency with SQL; experience writing 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 the 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.
Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or related field.
5+ years experience designing or deploying agentic AI systems, including tool-using agents, graph-based workflows, multi-agent collaboration, or human-in-the-loop controls.
Ability to translate ambiguous business needs into measurable technical objectives and deliver iteratively in a cross-functional environment.
Strong analytical, problem-solving, documentation, and communication skills.
Hands-on experience with Vertex AI capabilities, including Model Garden, Generative AI Studio, custom training, model endpoints, pipelines, evaluation, and model monitoring.
Experience building analytics and machine learning workflows with BigQuery, BigQuery ML, Dataflow, or related GCP services.
Experience with fine-tuning, parameter-efficient adaptation, synthetic-data generation, distillation, or model serving and optimization.
Experience developing evaluation datasets, automated evaluators, adversarial tests, red-team scenarios, and regression test suites for generative AI.
Knowledge of LLMOps and MLOps practices, model and prompt versioning, experiment tracking, monitoring, scalable inference, and cost optimization.
Experience delivering AI solutions in a regulated, safety-conscious, or large-enterprise environment.
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.

Key skills

natural language processingLarge Language Modelsgenerative AIapplied data sciencemachine learningLLM-powered applicationsmodel evaluation frameworksresponsible AI controlsGoogle Cloud Platformagentic AItool-enabled agentsworkflow orchestrationmulti-agent systems

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Read the full posting here

We are seeking a Data Scientist with a strong background in natural language processing and a focus on Large Language Models (LLMs) and generative AI. In this role, you will collaborate with product, engineering, analytics, and business teams to translate complex business needs into intelligent, reliable, scalable, and production-ready AI solutions. The ideal candidate will combine strong applied data science and machine learning expertise with hands-on experience developing LLM-powered applications, model evaluation frameworks, responsible AI controls, and cloud-based AI solutions using Google Cloud Platform (GCP). Experience with agentic AI—including tool-enabled agents, workflow orchestration, and multi-agent systems—is a plus.

Data Scientist

About the company

What you'll do

What you need

Key skills

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