Data Scientist, Manufacturing Analytics

Ford Motor Company

Data Scientist leveraging data and analytics for Manufacturing decisions at Ford. Collaborating on analytics products and aligning with business needs for effective outcomes.

Posted 5/20/2026full-timeAnkeny • Iowa • 🇺🇸 United StatesJuniorMid-Level💰 $68,300 - $192,900 per yearWebsite

Tech Stack

Tools & technologies

CloudGoogle Cloud Platform

About the role

Key responsibilities & impact

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.
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.

Requirements

What you’ll need

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.
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

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analyticsmachine learningartificial intelligenceoptimizationstatistical analysismathematical programmingAgile methodologydata product developmentanalytic model deploymentoperations research

Soft Skills

interpersonal skillsleadership skillscommunication skillsorganizational skillsindependenceproactivityproblem-solvingcollaborationconsultative approachadaptability

Certifications

Bachelor’s degree in quantitative fieldMaster’s degree in quantitative fieldPhD in quantitative field