Physics Informed Machine Learning Jobs in Detroit, MI

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation. 

The people of Ford Motor Credit Company have a 60-year commitment to helping put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships, we provide financing, personalized service and professional expertise to five thousand dealers and more than four million customers in over 100 countries around the world. If you're customer-focused, driven and seeking the opportunity to experience exciting challenges and growth, look no further. 

You'll have...

Master's degree or foreign equivalent in Computer Science, Statistics, Biostatistics, Mathematics, Economics, Operational Research, Physics, Computer Engineering or a related field and 3 years of experience in the job offered or a related occupation.   3 years of experience with each of the following skills is required: 1. Utilizing Python (Pandas, ScikitLearn, Statesmodels, and XGBoost) for data process and model development.  2 years of experience with each of the following skills is required:  1. Utilizing SQL for data extraction and feature engineering from multiple platforms including Google Cloud Platform, Hadoop, Teradata, PC, and Mainframe. 2. Communicating statistical and technical topics to non-technical business partners. 1 year of experience with each of the following skills is required:  1. Utilizing cloud platform (GCP and AWS) to conduct model development. 2. Researching and adapting new python algorithm/packages to build business solutions. 3. Banking/credit risk management. 4. Utilizing Statistical and Machine Learning Model Development to support business decisions in credit risk analysis.

We are offering a salary of $130,880.52 - $169,537.56/yr. 

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 Credit 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 the above? No matter what you choose, we offer a work life that works for you, including: 

  Immediate medical, dental, and prescription drug coverage 
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care 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 

Candidates for positions with Ford Motor Credit 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. 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-DNI 

#DNP 

Master's degree or foreign equivalent in Computer Science, Statistics, Biostatistics, Mathematics, Economics, Operational Research, Physics, Computer Engineering or a related field and 3 years of experience in the job offered or a related occupation.   3 years of experience with each of the following skills is required: 1. Utilizing Python (Pandas, ScikitLearn, Statesmodels, and XGBoost) for data process and model development.  2 years of experience with each of the following skills is required:  1. Utilizing SQL for data extraction and feature engineering from multiple platforms including Google Cloud Platform, Hadoop, Teradata, PC, and Mainframe. 2. Communicating statistical and technical topics to non-technical business partners. 1 year of experience with each of the following skills is required:  1. Utilizing cloud platform (GCP and AWS) to conduct model development. 2. Researching and adapting new python algorithm/packages to build business solutions. 3. Banking/credit risk management. 4. Utilizing Statistical and Machine Learning Model Development to support business decisions in credit risk analysis.

We are offering a salary of $130,880.52 - $169,537.56/yr. EOE.

This Job Notice is posted as a result of the filing of an application for permanent alien labor certification for the relevant job opportunity. Any person may provide documentary evidence bearing on the application to the Certifying Officer at the U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N-5311, Washington, DC 20210.

Note, this is a hybrid position whereby the employee will work both from home and from the anticipated worksite. Hence, the employee must live within a reasonable commuting distance from the anticipated worksite.  Engage with business teams to understand their business problems, identify data needed, design approaches and develop sound analytic solutions and models using advanced analytics including AI/ML. Extract data from various data sources and platforms (big data platform, GCP, PC, Mainframe, Unix/Linux, Teradata). Utilize new methodologies including deep learning and LLM to create innovative business solutions and automate business procedures to improve efficiency. Develop statistical/predictive models and APIs per business need. Develop tracking methodologies, metrics and reports to monitor model accuracy and evaluate performance. Prepare analysis to test and compare competing methodologies. Reply to business Ad Hoc requests. Review models, including model documentation, model results, and code. Effectively communicate and present technical material to analytics team, business customers and executives. Work with deployment, business, and legal teams to support the deployment models in production and all tasks related to successful launch of models. Ensure good model governance practices are satisfied. Ensure desk procedures are maintained and followed, and data retention standards are met. Provide technical reviews of department analytic projects as a member of the Analytic Technical Review Committee.

What you'll be able to do:

Analytics Scientist - positions offered by Ford Motor Credit Company LLC (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the anticipated worksite. Hence, the employee must live within a reasonable commuting distance from the anticipated worksite.  Engage with business teams to understand their business problems, identify data needed, design approaches and develop sound analytic solutions and models using advanced analytics including AI/ML. Extract data from various data sources and platforms (big data platform, GCP, PC, Mainframe, Unix/Linux, Teradata). Utilize new methodologies including deep learning and LLM to create innovative business solutions and automate business procedures to improve efficiency. Develop statistical/predictive models and APIs per business need. Develop tracking methodologies, metrics and reports to monitor model accuracy and evaluate performance. Prepare analysis to test and compare competing methodologies. Reply to business Ad Hoc requests. Review models, including model documentation, model results, and code. Effectively communicate and present technical material to analytics team, business customers and executives. Work with deployment, business, and legal teams to support the deployment models in production and all tasks related to successful launch of models. Ensure good model governance practices are satisfied. Ensure desk procedures are maintained and followed, and data retention standards are met. Provide technical reviews of department analytic projects as a member of the Analytic Technical Review Committee. Physical work location is 6001 Mercury Dr.,  Dearborn, Michigan 48126 - part of same complex as the address listed at end of this posting.