Data Science Manager — Customer Modeling & CLV

Ford-Motor-Company

Dearborn (MI)

Hybrid

USD 133,000 - 251,000

Full time

14 days+

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Benefits offered by this job

Medical benefits (immediate coverage)
Family care days (flexible)
Vehicle discount program
Tuition assistance

Job summary

Ford Marketing Analytics seeks a Data Science Manager to lead the Customer Modeling and Lifetime Value team. You will guide 4–5 data scientists, shaping CLV frameworks and predictive models to enable personalized marketing strategies across North America.

You will partner with Marketing Analytics, CX, Ford Credit and other teams to translate business questions into data science products, ensuring governance, deployment, and measurable business impact.

Qualifications

  • Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Mathematics).
  • 5+ years of data science, analytics, or marketing analytics experience.
  • 2+ years leading technical projects, initiatives, or teams.
  • Strong experience applying predictive modeling and statistical methods to business problems.
  • Strong proficiency in Python and SQL.

Responsibilities

  • Lead a team of 4–5 data scientists for customer modeling and CLV.
  • Develop and improve enterprise CLV framework and associated models.
  • Translate business questions into analytical problems and scalable data products.
  • Collaborate with Marketing Analytics, CX, Ford Credit and other functions to drive adoption.

Skills

Data science
Predictive modeling
Marketing analytics
Python
SQL
Leadership

Education

Bachelor's degree

Job description

Ford Marketing Analytics seeks a Data Science Manager to lead the Customer Modeling and Lifetime Value team. You will guide 4–5 data scientists, shaping CLV frameworks and predictive models to enable personalized marketing strategies across North America.

You will partner with Marketing Analytics, CX, Ford Credit and other teams to translate business questions into data science products, ensuring governance, deployment, and measurable business impact.

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