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 11/5/2026full-timeDearborn • Michigan • United StatesSenior💰 $68,300 - $192,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in predictive modeling and optimization frameworks, with a strong foundation in data analytics and machine learning. Proficient in translating complex analytical concepts into actionable insights for business stakeholders.

Highest-signal resume keywords

Predictive ModelingMachine LearningData AnalyticsProgramming ProficiencyEconometrics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonRMATLABC/C++/C#SASSQLEconometricsStatisticsMachine Learning TechniquesDeep Learning Techniques

Soft Skills

Problem FormulationAnalytical RigorCommunication Skills

Tools & Technologies

DashFlaskStreamlitGitAzureGCP

Industry Keywords

Data ScienceOperations ResearchArtificial IntelligencePortfolio Risk AssessmentIncentive Planning

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 convert ambiguous business problems into well-defined analytical problems
Communicate quantitative concepts as clear, actionable insights for technical peers and business partners
Execute rapid-response, ad-hoc analytical requests for time-sensitive strategic decision-making
Collaborate with data engineering, AI/ML engineering, and other Yield Management analytics product teams
Assess portfolio risk and opportunity at the portfolio or nameplate level
Assess business impacts of incentive tactics for incentive planning
Optimize nameplate profitability or minimize risk through entity-level pricing adjustments based on production, market demand, and operational constraints
Support new model year launches, mid-year repricing, and short-term variable marketing adjustments

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)
Candidates must be legally authorized to work in the United States
Visa sponsorship is 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 and fertility treatments
Vehicle discount program for employees and family members and 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 and the option to purchase additional vacation time
Visa sponsorship available