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Data Scientist, Marketing

Job in Dearborn, Wayne County, Michigan, 48120, USA
Listing for: Ford Motor Company
Full Time position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below

We are seeking a highly skilled and experienced Senior Data Scientist specializing in Marketing Analytics to join our dynamic team. In this role, you will be instrumental in leveraging data-driven insights to optimize marketing strategies, drive customer engagement, and directly contribute to the growth and success of the Ford Pro brand.

At Ford Pro, you'll be part of a team that is transforming the commercial vehicle industry by delivering innovative and connected solutions. You will have the opportunity to make a significant impact by applying cutting-edge data science to real-world marketing challenges, influencing strategic decisions, and contributing to a business that is crucial to the success of commercial enterprises worldwide. Join us in driving human progress through freedom of movement and shaping the future of work.

Responsibilities
  • Drive Impactful Solutions:
    Lead end-to-end data science initiatives, from problem definition to deployment and monitoring, to drive key business outcomes in marketing analytics for Ford Pro.
  • Apply Expertise:
    Leverage expert knowledge in at least one data science domain to solve intricate marketing challenges.
  • Strategic Partnership:
    Collaborate closely with marketing stakeholders to define data-driven strategies, align on roadmaps, and translate complex business requirements into actionable technical tasks.
  • Build Robust Pipelines:
    Develop and maintain robust, scalable data science pipelines, ensuring high quality, reproducibility, and continuous monitoring of model performance.
  • Influence & Innovate:
    Influence team data science strategy, standards, and best practices. Champion knowledge sharing, reusable data science assets, and evaluate emerging technologies and research for potential business applications within the marketing domain.
  • Communicate Insights:
    Translate complex data insights into strategic implications, fostering data-driven decision-making at higher levels across multiple teams and product areas within Ford Pro.
Qualifications
  • Education:

    Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
  • Experience:

    5+ years of progressive experience in Data Science, with a significant focus on marketing analytics or related business domains.
  • Technical Proficiency:
    Expert proficiency in programming languages such as Python or R, and strong SQL skills.
  • Problem-Solving:
    Proven ability to independently translate ambiguous business problems into solvable data science problems and deliver impactful, production-ready solutions.
  • Communication:
    Excellent communication and data storytelling skills, with the ability to articulate complex analytical results and their business implications clearly to both technical and non-technical audiences.
  • Collaboration:

    Demonstrated experience collaborating effectively with cross-functional teams, managing stakeholder expectations, and contributing to a highly collaborative environment.
Benefits
  • Immediate medical, dental, and prescription drug coverage
  • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care 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 are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

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