Senior Data Scientist – Go-to-Market Advanced Analytics; Yield Management

Position: Senior Data Scientist – Go-to-Market Advanced Analytics (Yield Management)
Job-:
Global Data Insight & Analytics

Location:

Dearborn, MI, United States Workplace:
Hybrid

Schedule:

Full time Posted:
Preferred Degree:
Doctor of Philosophy Our Marketing, Sales & Service organization advances the Ford reputation as a visionary vehicle and mobility services company and helps deliver a trusted customer experience. Use your marketing, sales and service expertise to turn data-driven insights into innovative solutions that enhance sales and customer loyalty. Join us and be the eyes, ears and voice of  this position...This

role sits within the Yield Management Advanced Analytics team, focused on developing and maintaining sophisticated modeling and optimization capabilities that drive pricing and incentive strategy across the business. As part of the broader Yield Management organization, this team partners closely with sibling analytics products, data engineering, AI/ML engineering, and business stakeholders to deliver quantitative solutions that shape how the company prices vehicles, structures incentives, and manages portfolio risk.

The successful candidate will serve as a subject matter expert on our analytical products, translating complex business problems into rigorous quantitative solutions and owning their full lifecycle — from framework design through production deployment and ongoing maintenance. Solutions are delivered in whatever format best fits the need, often as always-on web applications (e.g., Python Dash apps), but also as ad-hoc analyses, or dashboards when appropriate.

This position requires strong technical depth in statistical modeling, machine learning, and optimization, along with sound judgment in applying these methods to real business constraints. There is also room to explore emerging tools — such as agentic AI and LLM-based workflows — to enhance how solutions are built and delivered.

Critical questions this role will help answer include:

Assessing portfolio risk and opportunity at the portfolio or nameplate level

Assessing business impacts of different incentive tactics to support incentive planning

Optimizing nameplate profitability or minimizing risk by adjusting entity-level pricing based on production, market demand, and operational constraints

Supporting new model year launches, mid-year repricing, and short-term variable marketing adjustments

Qualifications

You'll have...Master's degree in Data Science, Statistics, Economics/Econometrics, Mathematics, Operations Research, Artificial Intelligence, Machine Learning, or a related quantitative field3+ 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), along with familiarity in ML/DL libraries and SQLEven better, you may have...Ph.D. in Data Science, Statistics, Economics/Econometrics, Mathematics, Operations Research, Artificial Intelligence, Machine Learning, or a related quantitative field

Demonstrated skills applying econometrics, statistics, and/or machine/deep learning techniques to large, structured and unstructured data sets Strong problem formulation and analytical rigor, with the ability to interpret and communicate model results

Experience with web app frameworks (e.g., Dash, Flask, Streamlit), version control (Git), and cloud platforms (e.g., Azure, GCP)
Curiosity or experience exploring agentic AI and LLM-based tools, with interest in applying them creatively to analytical workflows

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future…