AI-First Backend Engineer | Hybrid Data & AI

Lincoln Motor Company; Dearborn (MI); Hybrid; USD 100,000 - 193,000; Full time

Benefits offered by this job

Medical coverage

Family care benefits

Tuition assistance

Vehicle discount

Paid time off

Job summary

Ford is seeking a hands-on Data Scientist to transform complex data into actionable insights and scalable analytics solutions. You will collaborate with data scientists, AI engineers, and business stakeholders to deliver data-driven products and AI-enabled features.

The role emphasizes building production-grade Python services, scalable data models with BigQuery and PostgreSQL, and end-to-end data pipelines in a hybrid work environment. Strong communication and mentorship are valued.

Qualifications

• 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.

Responsibilities

• Develop clear specifications and guidelines to enable AI coding agents to generate reliable code.
• Design and maintain CI/CD pipelines and environment automation on GCP for frequent deployments.
• Build and maintain production-grade Python services and secure, versioned APIs.
• Design scalable data models using BigQuery and PostgreSQL and support AI-driven applications.

Skills

Data science

Python

BigQuery

GCP

CI/CD

APIs

AI/ML

Data modeling

Communication

Education

Bachelor's or Master's in CS/DS

Tools

BigQuery

PostgreSQL

Git

GCP

Job description

Ford is seeking a hands-on Data Scientist to transform complex data into actionable insights and scalable analytics solutions. You will collaborate with data scientists, AI engineers, and business stakeholders to deliver data-driven products and AI-enabled features.

The role emphasizes building production-grade Python services, scalable data models with BigQuery and PostgreSQL, and end-to-end data pipelines in a hybrid work environment. Strong communication and mentorship are valued.