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Ford Motor Company
·
April 26, 2025
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Data Scientist

United States
Full-time
Remote
Entry, Mid Level
Ford Motor Company is a global company focused on redefining mobility through data and analytics. As a Data Scientist in Manufacturing Analytics, you will leverage your expertise to develop analytics products and collaborate with various teams to drive evidence-based decision making.
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Responsibilities

  • 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.

Qualification

Required

  • 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

Preferred

  • 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

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.
We don't just make history -- we make the future.
Glassdoor
4.0
Founded in 1903
Dearborn, Michigan, USA
10001+ employees
https://www.ford.com
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