Data Scientist - Supply Chain Analytics at Ford Global Career Site

Dearborn, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Data Analysis, Big Data, Machine Learning, Deep Learning, Python, SQL, R, Google Cloud Platform, Data Visualization, Statistical Analysis, Generative AI, Large Language Models, Feature Engineering, Data Preprocessing, Cloud Computing, Supply Chain Operations

Industry

Motor Vehicle Manufacturing

Description

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. Established and active employee resource groups Bachelor's degree in Data Science, Engineering, Computer Science, or other quantitative area 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 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. 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. 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

Responsibilities

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.