Temporary Data Scientist Machine Learning Jobs in Michigan

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.

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics, and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

You'll have...

Master's degree or foreign equivalent in Data Science and Business Analytics, Computer Science, Industrial Engineering, or a related field and 4 years of experience in the job offered or a related occupation.  4 years of experience with each of the following skills is required:  1. Programming languages such as Python and SQL skills. 2. Data science libraries and frameworks (Scikit-learn, XGBoost, TensorFlow or PyTorch, Pandas). 3. Advanced statistical modeling, machine learning techniques (regression, classification, forecasting, causal inference). 4. Cloud platforms ( Google Cloud Platform, AWS, Azure), including building data processing pipelines (Spark, Dataflow) and utilizing managed machine learning services. 5. A/B testing design, implementation, and analysis, as well as experimental design methodologies. 6. MLOps practices, including model deployment, versioning, and automated monitoring in production environments.  3 years of experience with each of the following skills is required: 1. GenAI and machine learning.

We are offering a salary of $128,710.00 - $186,624.00/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 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 

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. 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.

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Master's degree or foreign equivalent in Data Science and Business Analytics, Computer Science, Industrial Engineering, or a related field and 4 years of experience in the job offered or a related occupation.  4 years of experience with each of the following skills is required:  1. Programming languages such as Python and SQL skills. 2. Data science libraries and frameworks (Scikit-learn, XGBoost, TensorFlow or PyTorch, Pandas). 3. Advanced statistical modeling, machine learning techniques (regression, classification, forecasting, causal inference). 4. Cloud platforms ( Google Cloud Platform, AWS, Azure), including building data processing pipelines (Spark, Dataflow) and utilizing managed machine learning services. 5. A/B testing design, implementation, and analysis, as well as experimental design methodologies. 6. MLOps practices, including model deployment, versioning, and automated monitoring in production environments.  3 years of experience with each of the following skills is required: 1. GenAI and machine learning.

We are offering a salary of $128,710.00 - $186,624.00/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 aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the worksite.  Leading the development and delivery of a suite of GenAI applications in support of the global marketing organization. Architecting and integrating complex novel data science algorithms into the fabric of these end user applications. Ensuring application performance and adhering to enterprise compliance and best practice development standards. Mentoring junior data scientists. 

What you'll be able to do:

Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the worksite.  Leading the development and delivery of a suite of GenAI applications in support of the global marketing organization. Architecting and integrating complex novel data science algorithms into the fabric of these end user applications. Ensuring application performance and adhering to enterprise compliance and best practice development standards. Mentoring junior data scientists.