As a Data Scientist in Manufacturing Analytics, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals. You will develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization using GDI&A approved packages and architectures. You will collaborate with Data Engineers and Software Engineers to develop robust analytics products. You will use your knowledge of the product driven operating model, analytic and software delivery via Google Cloud Platform to optimize the delivery of value. You will interact with business partners in Manufacturing to align with their needs and processes to ensure relevancy of products.

What you'll do...

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 collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine learning methods.
Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams.
Work hands-on with the team and other partners to deliver solutions that meet our customer's requirements and needs.
Act as a consultant to the business vs. an order taker.
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.

You'll have...

Bachelor’s degree in a quantitative field, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science
2+ year experience hands-on experience with mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis
1+ year of experience delivering analytics solutions
1+ year experience with Agile team methodology
Demonstrated technical skills in data analytics, AI/ML, operations research, and/or optimization

Even better, you may have...

Master’s degree or PhD preferred in quantitative field, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field
Knowledge and experience working with OGC and related teams/activities (e.g., Compliance, Litigation and Regulatory)
Proven experience with developing data products/solutions to support analytic applications in Ford’s data ecosystem
Experience with Product Driven Operating Model or Agile Product Development Process
Proven proficiency in developing and deploying analytic models, working in a team environment, supporting customers and/or end users
Comfortable working in an environment where problems are not always well-defined
Strong interpersonal and leadership skills, with ability to communicate complex topics to leaders and peers in a simple and clear manner
Well-organized, independent, and ready to work with minimal supervision
Inquisitive, proactive, and interested in learning new tools and techniques
Demonstrated hands on experience with deploying data products and/or analytic models in Ford’s on-prem and/or Google Cloud Platform
Demonstrated experience to translate real-world business problems into analytical formulations and interpreting analytics results with non-analytics business partners
Working knowledge of Manufacturing IT legacy systems such as FIS, Maximo, QLS, etc.
Thorough understanding of the ‘Common Data Model’ standard published by Manufacturing
Understanding of the IIoT Platform architecture including MQTT

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 of the above? No matter what you choose, we offer a work life that works for you, including: 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, i