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

Location: Dearborn, MI, United States; Hybrid

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 Ford.

In 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

Join the Yield Management Advanced Analytics team, where you will build advanced predictive models and optimization frameworks, develop Python Dash applications, and run scenarios to support strategic business decisions in variable marketing and pricing. You will work closely with data engineering, AI/ML engineering, other analytics product teams within Yield Management, and business partners to answer critical questions across the variable marketing/pricing space.