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

Ford Motor Company • Dearborn, MI

1d • $68,300 - $192,900 • Hybrid

About The Position

The Senior Data Scientist is part of Ford’s Yield Management Advanced Analytics team within the Marketing, Sales & Service organization. The team develops and maintains modeling and optimization capabilities that inform vehicle pricing, incentive strategy, and portfolio risk management. It collaborates with related analytics products, data engineering, AI/ML engineering, and business stakeholders.

The role serves as a subject matter expert for analytical products and translates complex business problems into quantitative solutions, owning their full lifecycle from framework design through production deployment and ongoing maintenance. Deliverables may include always-on web applications, ad-hoc analyses, or dashboards. The position applies statistical modeling, machine learning, and optimization to business constraints, and may explore agentic AI and LLM-based workflows.

The work includes assessing portfolio risk and opportunity, evaluating incentive tactics, optimizing nameplate profitability or risk through entity-level pricing, and supporting new model year launches, mid-year repricing, and short-term variable marketing adjustments. The position is hybrid and requires onsite work four or more days per week.

Requirements

• Master’s degree in Data Science, Statistics, Economics/Econometrics, Mathematics, Operations Research, Artificial Intelligence, Machine Learning, or a related quantitative field.
• At least 3 years of experience in data analytics, AI/ML modeling, or related quantitative analysis.
• Proficiency in one or more programming languages such as Python, R, MATLAB, C/C++/C#, or SAS, along with familiarity with ML/DL libraries and SQL.
• Legally authorized to work in the United States.

Nice To Haves

• Ph.D. in Data Science, Statistics, Economics/Econometrics, Mathematics, Operations Research, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Demonstrated ability to apply econometrics, statistics, and/or machine or deep learning techniques to large structured and unstructured datasets.
• Strong problem formulation and analytical rigor, with the ability to interpret and communicate model results.
• Experience with web application frameworks such as Dash, Flask, or Streamlit; version control such as Git; and cloud platforms such as Azure or GCP.
• Curiosity or experience exploring agentic AI and LLM-based tools, with interest in applying them to analytical workflows.

Responsibilities

• Own the end-to-end lifecycle of complex predictive models and optimization frameworks, including scheduled updates, continuous improvement, and maintenance.
• Serve as a subject matter expert for analytical products and ensure the accuracy of underlying data, calculation logic, and business assumptions.
• Transition analytical frameworks into production-ready assets, emphasizing deployment automation, operational stability, and clean, modular, well-documented code.
• Explore emerging techniques such as agentic AI and LLM-based tools to improve modeling workflows or analytical delivery.
• Partner with business stakeholders to understand evolving needs and translate ambiguous business problems into well-defined analytical problems.
• Communicate quantitative concepts as clear, actionable insights to technical peers and business partners.
• Execute rapid-response, ad-hoc analyses to support time-sensitive strategic decisions.
• Collaborate with data engineering, AI/ML engineering, and other Yield Management analytics product teams to align data science capabilities with business needs.
• Assess portfolio risk and opportunity and evaluate the business impacts of incentive tactics.
• Support pricing and profitability or risk optimization, new model year launches, mid-year repricing, and short-term variable marketing adjustments.

Benefits

• Immediate medical, dental, vision, and prescription drug coverage.
• Flexible family care days, paid parental leave, new parent ramp-up programs, and subsidized backup childcare.
• Family-building benefits, including adoption and surrogacy expense reimbursement and fertility treatments.
• Vehicle discount program for employees and family members and management leases.
• Tuition assistance.
• Employee resource groups.
• Paid time off for individual and team community service.
• Paid holidays, including the week between Christmas and New Year’s Day.
• Paid time off and the option to purchase additional vacation time.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior