Data Scientist at Ford
Dearborn, MI
$85,400–$192,900from the description
Aug 9, 2026
Dearborn, MI
Sep 24, 2026
What this job asks for AI summary
This is a senior-level individual-contributor Data Scientist role at Ford Motor Company, focused on applying advanced data science techniques — including Generative AI, Computer Vision, NLP, forecasting, and prognostics — to manufacturing and business problems. The role involves building and deploying production-grade ML solutions, collaborating with engineering and business stakeholders, and mentoring junior data scientists. It is a hybrid position requiring four or more days onsite per week.
Senior level · 2+ years · Detroit-Warren-Dearborn, MI · Master's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 60 people in the Detroit-Warren-Dearborn, MI area plausibly meet what this posting asks for (data scientists). range 35–130
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $105,602 (middle half $82,863–$137,683). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 11, 2026. It is a model, not a headcount.
Why we read it this way (5)
The posting requires both a Bachelor's in an engineering/computer field AND a Master's in analytics, data science, or statistics — both are listed as hard requirements, so Masters is set as the minimum degree.
The 2-year experience requirement is stated at the role level against a domain (Generative AI, Computer Vision, forecasting, or prognostics) — these are listed as interchangeable specializations, so they are captured as one skill with alternatives. The same 2-year figure also anchors the overall years minimum.
Cloud platform experience ('advanced cloud platforms for scalable, production-ready ML operationalization') is explicitly marked 'preferred' in the posting and is captured as preferred; no specific cloud vendor is named, so common equivalents (AWS, Azure, GCP) are listed as alternatives.
The salary range ($85,400–$192,900/year) is unusually wide, spanning what Ford calls 'salary grade 6'; final placement depends on candidate experience and scope.
The title carries no seniority level word, so advertised seniority is Unspecified; however, the scope (mentoring junior/mid data scientists, leading methodology reviews, shaping roadmap) supports a Senior classification.
Read the full posting
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