Data Scientist

Job Description

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

We are seeking an AI Engineer/Data Scientist under the Global Data Insights & Analytics (GDIA) organization's Supply Chain Analytics (SCA) team. This team develops innovative, cloud-native data, AI, and analytics solutions for Ford. We provide data, AI/ML, and advanced analytics solutions to internal partners and co-develop external applications and provide strategic and engineering support to Ford customers. As an AI Engineer/Data Scientist, you'll be a key player in driving this success.

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.
  
  
  

Qualifications

Required Qualifications

• 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.
  
  
  

Even better, you may have...

• 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
  
  
  

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• 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.
  
  
  

For a detailed look at our benefits, click here: Benefit Summary

This position is a salary grade 8.

This position is a salary grade 8 and ranges from $113,580-190,500.

• Visa Sponsorship is not provided for this role*
  
  
  

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.