DIA Machine Learning Engineer

Ford Motor • Dearborn, MI

6d • Hybrid

About The Position

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.

Requirements

• 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 coding in multiple languages, including SQL, and using PowerBI for delivering analytics including reporting or machine learning.
• 2 years of experience with 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 coding using Python to automate business processes and data pipelines.
• 1 year of experience utilizing GCP native technologies, Dataform and Docker, to improve data pipelines.
• 1 year of experience with data engineering – leveraging Google Cloud Platform, Hadoop, or SQL for process re-engineering, and GitHub for code base version control.
• 1 year of experience with 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.

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level