Data Engineer Relocation Jobs in Wayne, MI (NOW HIRING)

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

The Global Data Insights and Analytics (GDIA) department is looking for qualified individuals who can develop scalable solutions to complex real-world problems using Generative AI, Agentic Workflows, Machine Learning, and Statistics. Our goal is to drive evidence-based decision-making by providing insights from data across various domains, including Connected Vehicle, Smart Mobility, Manufacturing, Supply Chain, and Warranty Analytics.

In this position...

As a Data Scientist, you will play a critical role in leveraging data science to drive significant business impact. You will lead the development of Agentic AI applications and traditional ML models, building intelligent systems that can reason through complex scenarios while also providing predictive and prescriptive insights.

You will be responsible for architecting solutions that are not only intelligent but safe, observable, and robust. You will bridge the gap between modern Large Language Models (LLMs) and traditional statistical techniques, ensuring that AI agents operate within strict guardrails and are backed by rigorous data analysis.

Based in Dearborn, MI, this is a hybrid position with a required four-day onsite presence each week.  Relocation assistance may be available for qualified candidates. 

You'll have...

• Bachelor's degree in a quantitative field (e.g., Computer Science, AI, Statistics, Mathematics, or Engineering) or equivalent combination of relevant education and experience.

• 3 + years of professional experience in Data Science, with a strong dual focus on Generative AI/LLM applications and traditional Machine Learning.

• 2+ years of hands-on experience with supervised/unsupervised learning and statistical modeling.
• 1+ years of experience building Agentic workflows (reasoning loops, tool use/function calling) rather than simple chatbots.
• 1+ years of experience with the GCP stack for AI/Data (Vertex AI, BigQuery).

Even better, you may have...

• Master's or PhD in a quantitative field (e.g., Computer Science, AI, Statistics, Mathematics, or Engineering). 

• Technical skills including:

  • Advanced proficiency in Python libraries such as Scikit-learn, NumPy, Pandas, Matplotlib, TensorFlow, or PyTorch.
  • Skilled in integrating diverse data sources via SQL, Vector Databases, and APIs. Experience with data augmentation and efficient loading techniques. 
  • Expert proficiency in Python for building autonomous agents and model interaction (e.g., LangGraph, LangChain, Google ADK).
  • Proficiency in observability frameworks, guardrail implementation, and the Model Context Protocol (MCP).
  • Deep experience with GCP services, specifically Vertex AI, Cloud Run, and BigQuery for deploying scalable AI solutions.
• Functional Skills including:
  • Ability to decompose complex business challenges into executable AI agent workflows and technical specifications.
  • Excellent verbal and written communication skills, with a demonstrated ability to translate complex technical information into simple, understandable language for non-technical audiences.
  • Strong skills in building relationships and collaborating effectively with stakeholders to contribute to data-driven decision-making. 
  • Highly effective in working with other technical experts, Software Engineers. Product Managers, Data Engineers, and business stakeholders
    

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
 

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:

• 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

This position is a salary grade of 7 or 8 and ranges from $99,600- 192,900.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here:

https://fordcareers.co/GSR

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

#LI-Hybrid

#LI-LA1 

You'll have...

• Bachelor's degree in a quantitative field (e.g., Computer Science, AI, Statistics, Mathematics, or Engineering) or equivalent combination of relevant education and experience/

• 3+ years of professional experience in Data Science, with a strong dual focus on Generative AI/LLM applications and traditional Machine Learning.

• 2+ years of hands-on experience with supervised/unsupervised learning and statistical modeling.
• 1+ years of experience building Agentic workflows (reasoning loops, tool use/function calling) rather than simple chatbots.
• 1+ years of experience with the GCP stack for AI/Data (Vertex AI, BigQuery).

Even better, you may have...

• Master's or PhD in a quantitative field (e.g., Computer Science, AI, Statistics, Mathematics, or Engineering). 
• Technical skills including:
  • Advanced proficiency in Python libraries such as Scikit-learn, NumPy, Pandas, Matplotlib, TensorFlow, or PyTorch.
  • Skilled in integrating diverse data sources via SQL, Vector Databases, and APIs. Experience with data augmentation and efficient loading techniques. 
  • Expert proficiency in Python for building autonomous agents and model interaction (e.g., LangGraph, LangChain, Google ADK).
  • Proficiency in observability frameworks, guardrail implementation, and the Model Context Protocol (MCP).
  • Deep experience with GCP services, specifically Vertex AI, Cloud Run, and BigQuery for deploying scalable AI solutions.
• Functional Skills including:
  • Ability to decompose complex business challenges into executable AI agent workflows and technical specifications.
  • Excellent verbal and written communication skills, with a demonstrated ability to translate complex technical information into simple, understandable language for non-technical audiences.
  • Strong skills in building relationships and collaborating effectively with stakeholders to contribute to data-driven decision-making. 
  • Highly effective in working with other technical experts, Software Engineers. Product Managers, Data Engineers, and business stakeholders
    

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
This position is a salary grade of 7 or 8 (we anticipate this will be a lateral move).

 Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here:

https://fordcareers.co/GSR,

Visa sponsorship is available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

#LI-Hybrid

#LI-LA1 

What you'll do...

• Design and implement supervised and unsupervised machine learning models (e.g., regression, classification, clustering) and statistical experiments to support data-driven decision-making.
• Develop advanced RAG (Retrieval-Augmented Generation) pipelines and API connectors to ingest and synthesize data from diverse sources, including internal databases, unstructured technical documents, and external third-party data.
• Implement robust safety layers and input/output validation using specialized frameworks (e.g., Google Model Armor) to prevent hallucinations, ensure data privacy, and maintain compliance.
• Design and build state-of-the-art AI agents using modern orchestration frameworks (e.g., LangGraph, LangChain, Google ADK) to automate complex reasoning tasks.
• Build comprehensive monitoring pipelines using advanced evaluation tools (e.g., Arize Phoenix, Langfuse) to trace agent reasoning steps, track token usage, and monitor latency in production.
• Adopt rigorous evaluation frameworks (e.g., Ragas, GenAI Evaluation Service) to measure performance. Stay updated on research papers and cutting-edge algorithms in both the GenAI and ML domains.
• Develop and deploy AI solutions exclusively within the Cloud Platform preferable GCP (AWS/Azure) ecosystem, utilizing Vertex AI, Cloud Run, and BigQuery.