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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.

Want to help drive the future of automotive supply chain operations? Join Ford's Supply Chain Analytics team! As a Data Scientist, you'll work with a curious, proactive, and creative team that's critical to Ford's success. By leveraging advanced data analytics and the latest tools, you'll solve complex business problems, improve operational efficiency, and make data-driven decisions that impact the future of our company. If you're passionate, knowledgeable, and highly motivated, we want you on our team!

This is a hybrid position, with requirement to be in office 4 days a week.

What you'll do...

+ Drive improvements in Ford’s supply chain operations through big data analysis and modeling

+ Develop innovative tools that translate complex business problems into actionable data science solutions for key stakeholders

+ Leverage cutting-edge technologies such as Google Cloud Platform (GCP) to support more informed decision-making

+ Execute digital transformation projects to improve supply chain operations

+ Deliver tangible value for customers and stakeholders through data-driven insights and solutions

+ Perform data exploration, feature engineering, and data preprocessing to prepare diverse datasets for model training and evaluation.

+ Communicate complex analytical findings and technical concepts clearly and concisely to both technical and non-technical stakeholders.

+ Stay abreast of the latest advancements in machine learning, deep learning, and LLM research, and actively propose new technologies and methodologies to enhance our capabilities.

You'll have...

+ Bachelor’s degree in Data Science, Engineering, Computer Science, or other quantitative area

+ 1+ years of experience as a researcher, analyst, data scientist or solution developer

+ Experience with Data transformation and analysis: Python, SQL, R, Alteryx, MINITAB, CPLEX, Any Logic

+ Experience with Visualization tools such as: QlikSense, Power BI, Google Looker studio, Dash, Tableau, Matplotlib, and Seaborn

+ Experience with Databases technologies such as: Google Big Query, AWS, Hadoop, or SAP

+ Ability to extract actionable insights from data

+ Experience using SQL to extract, clean, and transform data in large, complex, nested databases

+ Experience using programming languages such as Python or R in a cloud platform

+ Experience doing research, analysis, data science or solution development

+ Strong foundational knowledge of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning, deep learning) and statistical modeling techniques.

+ Excellent written and verbal communication skills and strong intellectual curiosity with the ability to work effectively in a cross-functional team environment.

Even better, you may have...

+ Working with and integrating LLMs and Generative AI frameworks: GPT, Claude, Google Gemini, Llama

+ LLM orchestration frameworks: LangChain, LlamaIndex for building agentic workflows.

+ Cloud-based Gen AI services: Google Cloud Vertex AI, Azure OpenAI Service, AWS Bedrock.

+ Experience in statistical analysis and modeling

+ Advanced degree in a related field

+ Experience in the automotive industry

+ Experience in at least one area of supply chain operations, such as constraints, risk management, sales and production planning, material planning, or logistics

+ Experience developing and delivering projects in Google Cloud Platform (GCP)

+ Proven experience in designing, developing, and deploying solutions leveraging Generative AI and Large Language Models (LLMs).

+ Proficiency in advanced prompt engineering techniques, few-shot learning, and developing effective strategies for interacting with and optimizing LLM APIs.

+ Experience with LLM agentic model development, including designing autonomous agents, multi-agent systems, and integrating tools for enhanced capabilities.

+ Familiarity with Retrieval Augmented Generation (RAG) implementations, fine-tuning LLMs, and evaluating their performance for specific domain tasks.

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, 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.

For a detailed look at our benefits, click here:

https://fordcareers.co/GSR-HTHD

This position is a range of salary grades 6-8.

*Note: This is a hybrid role, you are expected to relocate if you are not within commutable distance, and responsible to be on site 4 days a week

Visa sponsorship is available for this position.

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.

\#LI-Hybrid

**Requisition ID** : 55140