Ford Motor Company · 22 hours ago
Data Scientist
Ford Motor Company is a global leader in mobility solutions, committed to building a better world through innovative data solutions. They are seeking an AI Engineer/Data Scientist to join their Global Data Insights & Analytics team, focusing on developing cloud-native data, AI, and analytics solutions to support internal partners and enhance decision-making processes.
TransportationManufacturingAutomotiveAutonomous Vehicles
Responsibilities
Acquire deep understanding of the business problems and translate them into appropriate business solutions
Design, develop, and implement end-to-end AI/ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment
Ingest, transform, and analyze large datasets to support the team in launching data products in the Data Factory on Google CloudPlatform (GCP)
Act as a full-stack data scientist to develop and deliver advanced analytics models, including classification, anomaly detection, optimization, LLM, and more
Write clean, efficient, and well-documented code in Python for data manipulation, feature engineering, and model development
Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results
Examine, interpret and report analytical results in both written reports and in oral presentations to varied audiences
Qualification
Required
Master's degree (M.S.) in Data Science, Computer Science, Business Analytics, Machine Learning, Statistics, or a related quantitative field
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 with solutions designed and implemented at production scale
2+ Experience working with GCP for scheduling and orchestration of data pipelines
Expertise in SQL for data querying, manipulation, and database interaction
Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques
Experience with containerization (e.g., Docker), constructing REST APIs using frameworks like Flask or FastAPI, and adherence to best software development practices (e.g., version control, testing)
Excellent oral, written, and interpersonal communication skills
Preferred
Ph.D. in Data Science, Computer Science, Business Analytics, Machine Learning, Statistics, or a related quantitative field
Experience working with Terraform to provision Infrastructure as Code
Experience in the Supply Chain or Automotive domain
Experience in forecasting algorithms, anomaly detection algorithms, optimization models
Experience in Generative AI, including a strong understanding of ML frameworks, algorithms, and practical implementation
Experience in specialized areas such as Natural Language Processing (NLP), deep learning (e.g., TensorFlow, PyTorch), or recommendation systems
A record of publications or presentations in recognized journals or conferences
Inquisitive, proactive, and interested in learning new tools and techniques
Comfortable working in a fast-paced and innovative environment where problems are not always well-defined
Benefits
Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care 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.
Company
Ford Motor Company
We don't just make history -- we make the future.
Funding
Current Stage
Public CompanyTotal Funding
$16.23BKey Investors
US Department of EnergySoros Fund Management
2025-07-29Post Ipo Debt· $3B
2023-08-17Post Ipo Debt· $4B
2023-06-22Debt Financing· $9.2B
Recent News
2026-02-08
2026-02-07
Company data provided by crunchbase