We are looking for a Data Scientist to pioneer in optimizing Ford's service supply chain. A successful candidate must have experience in Statistics, AI/ML and Operations Research solving various operations problems such as supply chain. The ideal candidate will effectively interface between technical and business teams working through data challenges, building models, and refining model results using feedback.
What you'll do :
Acquire deep understanding of supply chain processes around problems and translate them into appropriate mathematical or model requirements
Work with large and small, complex data sets using tools such as SQL, BigQuery, and Python
Identify data processing requirements for models, clean, and assess validity and completeness of data samples from multiple sources
Develop/maintain model deployment pipeline on GCP
Contribute and review code for our code base in GitHub
Deliver insights, models, and tools using statistical analysis, sample validation, machine learning, algorithm design, and feature engineering
Interpret analysis and modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership
Interact and work cross-functionally with a variety of data scientists, business analysts, data engineers, software engineers, and product manager
Develop trust with stakeholders and peers by delivering results on time
Ensure overall quality of the data & solutions throughout the development process
Provide training and maintenance of implemented tools to business partners
Collect feedback from business users and continuously improve products
Mentor more junior data scientists by being a role model and advisor on the above tasks
Find areas to lead and innovate as a Senior Data Scientist on the team
Master's degree in engineering, Statistics, Data Science, Engineering, Economics, Mathematics, Data Science, Data Analytics, Operations Research or similar technical field or a related quantitative discipline.
3+ years of experience using statistics, machine learning, and other advanced mathematical techniques for gaining insights from data
3+ years of experience using Python, SQL or BigQuery for acquiring and transforming data
3+ years of experience using Cloud Services, ideally Google Cloud Platform including, BigQuery, Dataform, Cloud Run, Cloud Build for productionizing models
5+ years of experience with real-world data, data cleaning and processing for modeling, data collection or other data wrangling challenges
Experience with building solutions for operations management problems (e.g., timeseries modeling, forecasting, inventory optimization, service parts planning, logistics/distribution
Comfortable working in an environment where problems are not always well-defined
Well-organized, a self-starter, independent and ready to work with minimal supervision
A respectful and committed teammate, willing to excel and work with talented people
Strong story telling skills to get buy-ins from leadership across and carry out the vision
Inquisitive, proactive, and interested in learning new tools and techniques
Even better, you may have...
PhD in quantitative fields, such as (but not limited to) Statistics, Engineering, Economics, Mathematics, Data Science, Data Analytics, Operations Research or similar technical field.
Deep expertise with scaling approaches for large scale machine learning/optimization/simulation problems
Experience with inventory and service parts planning (e.g., multi-echelon, service-level constraints, lead time variability) building Data Science solution and realize quantified
Experience operationalizing models into production workflows (APIs, scheduled pipelines, monitoring/alerting, production support).
Experience with Docker best practices and production-grade CI/CD and release management on GCP
Proven track record influencing stakeholders and driving adoption of analytics products in an operational business environment
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: Benefit Summary (https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2025-benefits-and-comp-gsr-sal-plan-2.pdf)
This role is on site in Dearborn, MI, you will be required on-site 4x a week.
*Visa Sponsorship IS provided for this specific role ***
*Relocation assistance is NOT provided for this specific 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.
LI-On-Site
LI-DS2
SG7-8
Requisition ID : 59129
