
Staff Data Scientist/Machine Learning Engineer
Are you interested in an exciting opportunity to drive success with data? The Data Driven Engineering team at Goodyear in the Innovation Centers in Colmar-Berg, Luxembourg and Akron, Ohio, United States and in the Goodyear Technical Center in Hyderabad, India does just that. The team is focused on developing tools, applications and insights in support of the virtual tire development mission that seeks to develop a virtual framework for tire design and tire performance prediction with the aim to reduce design iterations and speed up product development.
What You Will Do
The incumbent will join the Data Driven Engineering group at the Goodyear Technical Center in Hyderabad, India that focuses on developing AI methodologies for virtual tire development process. In particular:
What We Expect
M.Sc. in Data Science, Mathematics, Statistics, or similar technical field
Ph.D. is preferred or equivalent experience.
Experience:
Minimum 5+ years of experience in Machine Learning and advanced data analysis(Data Engineering & Data Science) on large data sets is an asset
At least one year experience in the automotive or an industrial sector(Manufacturing or Energy) with focus on structures, vibrations and acoustics fields.
Skills & Qualifications:
#Li-Hybrid
#Li-APGY
Goodyear is one of the world's largest tire companies. It employs about 63,000 people and manufactures its products in 49 facilities in 19 countries around the world. Its two Innovation Centers in Akron, Ohio, and Colmar-Berg, Luxembourg, strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to www.goodyear.com/corporate
Goodyear is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by law.

At Goodyear, our passion for innovation has driven us to be number one in tires, and that's been true from the racetrack to the moon.