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

Ford Motor Company

. Own the end-to-end lifecycle of complex predictive models and optimization frameworks, including scheduled updates, continuous improvement, and maintenance .

Posted 9/22/2026full-timeDearborn • Michigan • United StatesSenior💰 $68,300 - $192,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining predictive models and optimization frameworks, with a strong foundation in data analytics, AI/ML modeling, and statistical techniques. Proficient in translating complex analytical concepts into actionable insights for diverse stakeholders.

Highest-signal resume keywords

Predictive ModelingOptimization FrameworksPython ProgrammingMachine Learning TechniquesData Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsMachine LearningStatistical AnalysisEconometricsPythonRMATLABSQLDeep LearningModel Deployment

Soft Skills

Problem FormulationAnalytical RigorCommunication

Tools & Technologies

DashFlaskStreamlitGitAzureGCP

Certifications & Qualifications

Master's Degree in Data ScienceMaster's Degree in StatisticsMaster's Degree in EconomicsMaster's Degree in MathematicsMaster's Degree in Operations ResearchMaster's Degree in Artificial Intelligence

Industry Keywords

Predictive ModelsOptimizationVehicle PricingIncentive StrategyPortfolio RiskAgentic AILLM-based Tools

Tech Stack

Tools & technologies

AzureCloudFlaskGoogle Cloud PlatformPythonSQLC++

About the role

Key responsibilities & impact

Own the end-to-end lifecycle of complex predictive models and optimization frameworks, including scheduled updates, continuous improvement, and maintenance
Serve as subject matter expert for analytical products, ensuring accuracy of underlying data, calculation logic, and business assumptions
Transition analytical frameworks into production-ready assets through deployment automation, operational stability, and clean, modular, well-documented code
Explore agentic AI and LLM-based tools to improve modeling workflows or analytical delivery
Partner with business stakeholders to understand evolving needs and convert ambiguous business problems into well-defined analytical problems
Communicate quantitative concepts into clear, actionable insights for technical peers and business partners
Execute rapid-response, ad-hoc analytical requests for time-sensitive strategic decision-making
Partner with data engineering, AI/ML engineering, and other analytics product teams within Yield Management
Develop and maintain sophisticated modeling and optimization capabilities for vehicle pricing, incentive strategy, and portfolio risk
Build predictive models, optimization frameworks, Python Dash applications, and run scenarios supporting strategic decisions in variable marketing and pricing

Requirements

What you’ll need

Master's degree in Data Science, Statistics, Economics/Econometrics, Mathematics, Operations Research, Artificial Intelligence, Machine Learning, or a related quantitative field
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)
Familiarity with ML/DL libraries and SQL
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
Must be legally authorized to work in the United States
Visa sponsorship is not available for this position

Benefits

Comp & perks

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days
Paid parental leave
New parent ramp-up programs
Subsidized back-up childcare
Family building benefits including adoption and surrogacy expense reimbursement
Fertility treatments
Vehicle discount program for employees and family members
Management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off
Option to purchase additional vacation time