AI-First Backend Developer

Ford Motor Company

Dearborn, MIFull time
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Location
Dearborn, MI
Job type
Full time
Posted
Sep 30
20 days ago
Career path

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About the company

Ford Motor Company

Automotive · 10,001+ employees

Ford Motor Company on LinkedIn

What you'll do

  • Turn complex data into actionable insights, develop analytical solutions, and partner with technical and business teams to support product and design decisions.

What you need

  • Bachelor's or Master's degree in Data Science, Computer Science, or a related technical field, or equivalent practical experience.
  • 6+ years of experience in data science, data engineering, or software engineering.
  • 3+ years of experience building and operating cloud-based workloads, preferably on Google Cloud Platform (GCP).
  • Experience developing data pipelines, analytical solutions, and CI/CD processes.
  • Strong Python programming skills and experience with modern data science tools and frameworks.
  • Hands-on experience with AI coding agents and validating AI-generated outputs.
  • Solid data modeling skills and experience with BigQuery and analytical workloads.
  • Familiarity with Git, cloud infrastructure, observability, and performance optimization.
  • Working knowledge of front-end or full-stack development.
  • Strong communication and collaboration skills, with the ability to mentor and coach others.
  • An automation mindset focused on improving efficiency and scalability.
  • Curiosity about the business and the ability to translate business needs into data-driven solutions.

Key skills

dataanalyticsAI

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See full description on company page, apply now

Read the full posting here
Join Ford’s Global Data Insight & Analytics (GDIA) team and help transform the future of mobility through data, analytics, and AI. As a Data Scientist on the Design Cost & Complexity Analytics team, you’ll turn complex data into actionable insights, develop innovative analytical solutions, and partner with technical and business teams to drive smarter product and design decisions.

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