Data Scientist

As a Data Scientist in Ford’s Global Data Insights and Analytics (GDI&A) team, you’ll use machine learning to solve business and engineering problems across areas such as design cost, connected vehicles, manufacturing, and product quality. You’ll work with large-scale data, develop and evaluate models, and apply Generative AI where it adds value. Using GCP and working closely with cross-functional teams, you’ll turn your findings into insights and solutions that can be put to use.

Responsibilities

• Build data-driven models to understand the characteristics of engineering systems
• Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems
• Train, tune, validate, and monitor predictive models
• Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats
• Establish scalable, efficient, automated processes for large scale data analyses
• Package and present the findings and communicate with large cross-functional teams

Qualifications

• Bachelor’s or advanced degree in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or a related field.
• 4+ years of hands-on data science experience, with strong Python and machine learning skills.
• Demonstrated experience developing Generative AI applications, not solely using AI tools as an end user.
• Hands-on experience with GCP, particularly BigQuery and Vertex AI.
• Experience building dashboards using tools such as Looker, Power BI, Tableau, or similar.
• Strong problem-solving, communication, and stakeholder-collaboration skills.
• Preferred, not required: experience deploying models or applications through APIs, and familiarity with MLOps practices such as versioning, CI/CD, monitoring, and automated deployment.