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Ford Motor Company

Data Scientist, Long-Term Forecast Analytics

Ford Motor Company

. Develop and analyze future vehicle pricing and volume forecasts against business plans and scenarios .

Posted 10/28/2026full-timeDearborn • Michigan • United StatesMid-LevelSenior💰 $99,600 - $166,600 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in statistical analysis, data visualization, and advanced modeling techniques to drive strategic decision-making. Proficient in translating complex business questions into actionable insights using quantitative methodologies.

Highest-signal resume keywords
Statistical AnalysisData VisualizationData ModelingOptimizationStatistical Software (R/Python)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Statistical AnalysisData VisualizationData ModelingOptimizationAttribution ModelingOperations ResearchMachine LearningMathematical EquationsRegression AnalysisAdvanced Modeling Techniques
Soft Skills
Attention To DetailTime ManagementWillingness To LearnExcellent CommunicationData Presentation Skills
Tools & Technologies
RPythonBigQuerySQLHadoopHiveAlteryxMicrosoft ExcelMicrosoft PowerPoint
Industry Keywords
Ford VehiclesBusiness AcumenData StorytellingCollaborative AnalysisAdvisory Methodologies

Tech Stack

Tools & technologies
BigQueryHadoopPythonSQL

About the role

Key responsibilities & impact
  • Develop and analyze future vehicle pricing and volume forecasts against business plans and scenarios
  • Provide recommendations for effective decision-making
  • Create compelling visual representations of data using data storytelling and insights
  • Persuade business partners to act on recommendations
  • Collaborate with peers and business partners on data analyses, studies, and projects
  • Improve approaches and methodologies supporting advisory work in an evolving industry
  • Use advanced modeling and simulation techniques to generate scenarios for strategic decisions
  • Optimize Ford Business Unit performance
  • Apply attribution modeling, statistics, optimization, operations research, machine learning, and other advanced techniques to solve business problems
  • Develop analytical methodologies and specify data requirements
  • Translate business phenomena into mathematical and regression equations
  • Use innovative modeling to answer difficult questions with limited information and resources

Requirements

What you’ll need
  • Graduate Degree in a quantitative field such as Statistics, Data Science, Mathematics, Economics, or Physics
  • 3+ years of experience with statistical analysis, data visualization, data modeling, or optimization
  • Expertise using statistical software such as R/Python
  • Expertise with query languages or software such as BigQuery, SQL, Hadoop/Hive, and Alteryx
  • Proficiency with Microsoft Office programs, especially Excel and PowerPoint
  • Ability to work with customers to determine underlying business questions and needs
  • Ability to convert business questions into solvable modeling problems and evaluate solutions against business reality
  • Ability to apply business acumen to problems and solutions
  • Familiarity with Ford’s vehicles
  • Attention to detail, time management, willingness to learn, and ability to handle multiple projects
  • Excellent communication and data presentation skills
  • Candidates must be legally authorized to work in the United States
  • Visa sponsorship is not available
  • Domestic relocation is not available

Benefits

Comp & perks
  • Immediate medical, dental, vision, and prescription drug coverage
  • 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
  • Generous vacation time, sick/personal time, and paid holidays, including between Christmas Eve and New Year’s Day