At Ford, you can build more than vehicles. Come build what matters.

We are seeking a Data Scientist for the Charging & Energy Services Analytics Foundational Data team within Ford's Global Data Insights & Analytics (GDIA) division. Our team partners with cross-functional business and engineering partners who support electric vehicle programs where timelines are tight and decisions are data-driven.

In this position…

This role is a hands-on, high-impact data science partner to drive stakeholder decisions. You will lead the flow of data from vehicle sensor outputs to making it actionable for engineers,owning the request intake, building data features in a production data product, and ensuring our pipelines are reliable, efficient, and trustworthy.

Responsibilities

• Serve as the technical bridge between vehicle sensor data and metrics that inform actionable engineering decisions, communicating findings with clarity and urgency.
• Ingest, transform, and analyze large datasets to support the team in launching data products in Ford's Enterprise Data Platform on Google Cloud Platform (GCP).
• Acquire a deep understanding of complex engineering and business problems and translate them into scalable AI/ML solutions.
• Design, develop, and implement end-to-end AI/ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Diagnose regression issues and test case failures using data analysis to identify root causes, quantify scope, and recommend fixes.
• Ensure data quality and integrity of the data pipeline; investigate anomalies that could affect engineering insights.

Requirements

• Ph.D. in Electrical Engineering, Mechanical Engineering, Data Science, Computer Science, Machine Learning, Statistics, or a related quantitative field; OR a Master’s degree (M.S.) in one of these fields with a minimum of 2 years of research experience.
• 3+ years of experience in AI/ML, with proven experience developing and deploying machine learning models in a production environment.
• 2+ years of experience in Google Cloud Platform (GCP) with solutions designed and implemented at production scale, leveraging data engineering tools and services (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Functions, Cloud Composer).
• Proficiency in SQL and Python for data analysis and manipulation.
• Excellent oral, written, and interpersonal communication skills.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

The salary range for this position is $68,300-$192,900.