Data Scientist

Ford Motor Company

. Design, prototype, evaluate, and productionize LLM-powered applications for enterprise and customer-facing use cases .

Posted 10/14/2026full-timeDearborn • Michigan • United StatesJuniorMid-Level💰 $99,600 - $192,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying LLM-powered applications and scalable AI solutions using GCP services like Vertex AI and BigQuery. Proficient in statistical analysis, machine learning, and prompt engineering, with strong communication skills to convey technical findings to diverse stakeholders.

Highest-signal resume keywords

LLM Application DevelopmentGCP Services (Vertex AI, BigQuery)Python ProgrammingStatistical AnalysisPrompt Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ScienceFeature EngineeringModel ValidationStatistical ModelingNLP ConceptsAutomated TestingData Pipeline DevelopmentModel MonitoringAgentic AI

Soft Skills

Analytical SkillsProblem-SolvingDocumentationCommunication Skills

Tools & Technologies

GCPVertex AIBigQueryCloud StorageCloud FunctionsPub/SubCI/CDAPIsGitDataflow

Certifications & Qualifications

Bachelor’s Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or Similar Field

Industry Keywords

Generative AILLMOpsMLOpsRegulated EnvironmentEnterprise Solutions

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

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
Create rigorous LLM evaluation frameworks covering task quality, factuality, relevance, robustness, latency, cost, safety, and user experience
Explore and implement agentic AI patterns such as 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 Vertex AI, BigQuery, Cloud Storage, Cloud Run, Cloud Functions, Pub/Sub, and related services
Build reusable Python components, APIs, experimentation pipelines, and data products integrating with enterprise platforms and applications
Create and maintain data pipelines for structured and unstructured data used in modeling, experimentation, evaluation, and production
Perform exploratory analysis, feature engineering, statistical modeling, and machine learning
Implement observability, monitoring, guardrails, automated testing, and feedback loops to improve deployed model and application performance
Communicate technical findings, tradeoffs, risks, and recommendations to technical and non-technical stakeholders
Stay current with emerging generative AI methods and translate research into practical business value

Requirements

What you’ll 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
Experience with agentic AI—including tool-enabled agents, workflow orchestration, and multi-agent systems—is a plus
Master’s degree in a related field is preferred
5+ years experience designing or deploying agentic AI systems is preferred
Ability to translate ambiguous business needs into measurable technical objectives
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
Must be legally authorized to work in the United States
Visa sponsorship is not available

Benefits

Comp & perks

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days
Paid parental leave
New parent ramp-up programs
Subsidized back-up childcare
Family building benefits including adoption and surrogacy expense reimbursement and fertility treatments
Vehicle discount program for employees and family members
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