Data Scientist Supply Chain Analytics at Ford Motor

DescriptionWe 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.ResponsibilitiesWhat youll do...Drive improvements in Fords supply chain operations through big data analysis and modelingDevelop innovative tools that translate complex business problems into actionable data science solutions for key stakeholdersLeverage cutting-edge technologies such as Google Cloud Platform (GCP) to support more informed decision-makingExecute digital transformation projects to improve supply chain operationsDeliver tangible value for customers and stakeholders through data-driven insights and solutionsPerform 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.QualificationsYoull have...Bachelors degree in Data Science Engineering Computer Science or other quantitative area1 years of experience as a researcher analyst data scientist or solution developerExperience with Data transformation and analysis: Python SQL R Alteryx MINITAB CPLEX Any LogicExperience with Visualization tools such as: QlikSense Power BI Google Looker studio Dash Tableau Matplotlib and SeabornExperience with Databases technologies such as: Google Big Query AWS Hadoop or SAPAbility to extract actionable insights from dataExperience using SQL to extract clean and transform data in large complex nested databasesExperience using programming languages such as Python or R in a cloud platformExperience doing research analysis data science or solution developmentStrong 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 LlamaLLM 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 modelingAdvanced degree in a related fieldExperience in the automotive industryExperience in at least one area of supply chain operations such as constraints risk management sales and production planning material planning or logisticsExperience 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.*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 weekVisa 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