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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Ford Motor Company - **Location:** Dearborn, MI, United States - **Salary:** $85,400.0 - $192,900.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Computer Vision, Computer Engineering, Python (Programming Language), Natural Language Processing, Power BI, Software Engineering, Tableau (Software), Generative AI, Data Strategy, Core Data, Data Analytics, Qlikview - **Published:** August 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=62f693afdc2b2e46 ## About the Role * Bachelor's or foreign equivalent degree in mechanical engineering, electrical engineering, electronics engineering, computer engineering, aerospace engineering, auto engineering or a related field * Master's or foreign equivalent degree in analytics, data science or statistics * 2 years' experience in application of Generative AI, Computer Vision, forecasting, or prognostics/prediction * 2 years of experience in software development using Python & SQL * 1 year of experience developing dashboards using commercial products such as Power BI, Tableau, Qlik * Experience with advanced cloud platforms for scalable, production-ready ML operationalization preferred ## Description As a Data Scientist at Ford, you will serve as a domain expert in at least one core data science discipline (e.g., NLP, Generative AI, Computer Vision, forecasting, or prognostics), applying deep hands-on expertise to tackle challenging business problems where standard methods fall short. You'll design and deliver production-grade solutions, lead methodology and tooling decisions, and partner closely with business stakeholders to translate complex data insights into strategic direction. You will interact directly with manufacturing personnel to identify data sources and understand key process details, performing data exploration to formulate hypotheses and developing models that deliver actionable insights back to the manufacturing floor. You'll collaborate closely with Data Engineers and Software Engineers to design and develop applications consistent with standard development methods and milestones, and support the deployment of these applications within the manufacturing process through rigorous model verification and hands-on training of end users. Once deployed, you'll continue to support these applications by resolving issues that arise during use and enhancing them based on ongoing user feedback. Beyond individual technical excellence, you'll mentor and oversee the work of junior and mid-level data scientists, champion best practices across the team, and help shape Ford's broader data-driven culture and roadmap. * Design and deliver production-grade data science solutions for complex business problems, independently driving key business outcomes. * Partner with business stakeholders to define data-driven strategy and align the DS roadmap. * Lead reviews of DS work (methodology, code, and results), establishing review standards for projects. * Mentor others across the team on advanced DS topics and contribute to Ford's internal knowledge base. * Influence organizational priorities through data insights, identify strategic opportunities for data-driven value creation, and manage stakeholder expectations while championing a data-informed culture. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) ## Related Articles - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)