Data Scientist Supply Chain Analytics

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 were all a part of something bigger than ourselves.

Want to help drive the future of automotive supply chain operations Join Fords Supply Chain Analytics team! As a Data Scientist youll work with a curious proactive and creative team thats critical to Fords success. By leveraging advanced data analytics and the latest tools youll solve complex business problems improve operational efficiency and make data-driven decisions that impact the future of our company. If youre 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.

Responsibilities

What youll do...

• Drive improvements in Fords 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.

Qualifications

Youll have...

Bachelors 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

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 weve 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 builderor 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 Years Day

Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits click here :

position is a range of salary grades 6-8.

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 the United States if you need a reasonable accommodation for the online application process due to a disability please call 1-.

#LI-Hybrid

Key Skills

Fitness,AXA,Council,Cleaning,Data Analysis

Employment Type : Full-Time

Experience : years

Vacancy : 1