DIA Machine Learning Engineer

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 tomorrows 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. Thats whereGlobal Data Insight & Analyticsmakes 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.

What youll be able to do:

DIA Machine Learning Engineer - 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 deep understanding of the business problems and translate them into appropriate business solutions. Drive development and delivery of analytic and statistical models using skills such as data acquisition and management algorithm design and model development and refinement. Ensure overall quality of the data and solutions throughout the analytic development process. Interpret results and communicate insights to technical and non-technical audiences including executive leadership.

Youll have

Bachelors degree or foreign equivalent in Statistics Economics Mathematics Computer Science Industrial Engineering Data Science Mechanical Engineering or related field and 2 years of experience in the job offered or related occupation. 2 years of experience with each of the following skills is required:1. Coding in multiple languages including SQL and using PowerBI for delivering analytics including reporting or machine learning. 2. Data visualization delivering data to business users using at least one of the following: Qlik Python Dash Looker or Power BI. 1 year of experience with each of the following skills is required: 1. Coding using Python to automate business processes and data pipelines. 2. Utilizing GCP native technologies Dataform and Docker to improve data pipelines. 3. Data engineering leveraging Google Cloud Platform Hadoop or SQL for process re-engineering and GitHub for code base version control. 4. Process mapping and re-engineering consulting with the business to identify problem and provide solutions to improve and automate data flows using Dataform SQL or GCP.

We are offering a salary of$66102.00 - $186624.00/yr.

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 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 Years Day
Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits click here:

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 the United States if you need a reasonable accommodation for the online application process due to a disability please call 1-.

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