Accelerate the application of value-added analytics and machine learning into the portfolio of products for Manufacturing Analytics.
Drive analytic excellence into product teams by leading Data Scientists, Data Engineers and Software Engineers to develop and deploy products using analytic and machine learning methods.
Work hands-on with the team and other partners to deliver solutions that meet our customer's requirements and needs.
Balance "doing it right" with "speed to delivery" by identifying and mitigating risk, generating options, educating business and other decision makers, and taking on justified technical debt.
Collaborate with universities under the URP (University Research Partnership) framework governed by the Research & Innovation Center to research methods for solving specific problems using AI/ML
Research the emerging fields of Generative AI, Machine Vision, IIoT (Industrial Internet of Things) to identify opportunities for application
Publish findings in industry and research journals and present at conferences; Attend conferences to learn and benchmark state of the art in analytics
Coach and mentor Data Scientists in the areas of statistics, AI/ML, Generative AI, Optimization, etc.
Requirements
3+ years of experience building and managing high performing teams
Experience in the automotive industry or a complex manufacturing environment.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data analytics services.
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
IoT
Benefits
Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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.