Senior Data Scientist - GTM Analytics & Pricing

Lincoln Motor Company; Dearborn (MI); Hybrid; USD 68,000 - 193,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Paid parental leave

Backup childcare support

Vehicle discount program

Job summary

Ford Motor Company is seeking a highly skilled data scientist to join the Yield Management Advanced Analytics team, developing and maintaining predictive models and optimization frameworks that guide pricing, incentives, and portfolio risk. You will work with data engineering, AI/ML teams, and business stakeholders to deliver scalable analytics.

The role emphasizes model deployment, data accuracy, and clear communication of quantitative findings to technical and business audiences, with

Qualifications

• Master’s degree or PhD in a quantitative field is required.
• 3+ years of experience in data analytics, AI/ML modeling, or related quantitative analysis.
• Proficiency in one or more programming languages (Python, R, MATLAB, C/C++/C#, SAS) and SQL.

Responsibilities

• Own the end-to-end lifecycle of complex predictive models and optimization frameworks; drive updates and maintenance.
• Serve as SME for analytical products; ensure data accuracy and correct calculations.
• Drive deployment of analytical frameworks to production; focus on automation, stability, and clean, modular code.
• Explore emerging techniques like agentic AI or LLM tools to enhance workflows.

Skills

Python

R

SQL

MATLAB

C/C++/C#

SAS

Education

Master’s degree in Data Science, Statistics, Economics/Econometrics, Mathematics, Operations Research, AI/ML, or related field

Ph.D. in Data Science, Statistics, Economics/Econometrics, Mathematics, OR related field

Tools

Dash/Flask/Streamlit

Git

Azure/GCP

Job description

Ford Motor Company is seeking a highly skilled data scientist to join the Yield Management Advanced Analytics team, developing and maintaining predictive models and optimization frameworks that guide pricing, incentives, and portfolio risk. You will work with data engineering, AI/ML teams, and business stakeholders to deliver scalable analytics.

The role emphasizes model deployment, data accuracy, and clear communication of quantitative findings to technical and business audiences, with