DIA Machine Learning Engineer

Job Description

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.

Responsibilities

What you'll 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 worksite. Acquire 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.

Qualifications

You'll have…

Bachelor's 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 $66,102.00 - $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.

Job Info

• Job Identification 65278
• Job Category Global Data Insight & Analytics
• Job Schedule Full time
• Locations 22001 Michigan Ave, Dearborn, MI, 48124, US (Hybrid)