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# Data Scientist, Charging & Energy Services

- **Company:** Ford Motor Company
- **Location:** Dearborn, MI, United States
- **Experience:** Experienced
- **Salary:** $68,300.0 - $192,900.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, Big Data, BigQuery, Information Engineering, Data Transformation, Data Flow Control, Hardware Design, Machine Learning, Operational Databases, Software Tools, Tensorflow, SQL Databases, Test Case, Enterprise Data Management, Google Cloud, Data Ingestion, Generative AI, Information Technology, Google Cloud Functions, Machine Learning Operations, Data Pipelines
- **Published:** August 28, 2026
- **Apply:** https://www.nexxt.com/job.asp?id=3367798398&tx=YT1818THD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bring high energy and passion for the electric vehicle domain to help the team meet fast-paced demands. Demonstrate strong problem-solving skills and bias to action.
 * 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.

Even better, you may have...

 * Strong expertise in data engineering
 * Expertise in battery engineering and the electric vehicle charging domain
 * A record of publications or presentations in recognized journals or conferences
 * Experience in fast-paced automotive or hardware development environments
 * Experience in Generative AI, including a strong understanding of ML frameworks, algorithms, and practical implementation

## Description

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.

What you'll do...

 * 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.


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