Yield Management Specialist – GTM, Data Scientist

Ford Motor Company

Data Scientist developing core machine learning models and data products within Ford’s Yield Management team. Collaborating on impactful analytics applications to drive business decisions in Dearborn, MI.

Posted 6/16/2026full-timeDearborn • Missouri • 🇺🇸 United StatesMid-LevelSenior💰 $85,400 - $166,600 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSAzureBigQueryCloudETLGoogle Cloud PlatformPySparkPythonSQLTableau

About the role

Key responsibilities & impact

Model Development & Analytics: Design, train, and evaluate machine learning models, including predictive, classification, and ensemble methods, and conduct exploratory data analysis to surface trends, anomalies, and decision-support signals
AI Application & LLM Integration: Build and integrate LLM powered workflows for insight generation and decision support, blending structured business metrics with external signals through effective prompt engineering and harness in the agent
Data Pipeline & Engineering: Design, build, and maintain scalable ETL and data pipelines across multi-source datasets to power analytics, reporting, and downstream applications
Data Products & Visualization: Develop interactive analytics applications and dashboards (such as Dash/Power BI) that deliver real-time analytics, KPI monitoring, and actionable business insights
Model Evaluation & Data Quality: Establish model evaluation frameworks grounded in statistical metrics and business KPIs, and safeguard data reliability through validation of completeness, consistency, and ongoing pipeline monitoring
Collaboration & Delivery: Partner with data engineers, software engineers, and product owners to translate business needs into robust analytic deliverables, balancing technical rigor with speed to delivery

Requirements

What you’ll need

Bachelor’s degree in a quantitative field, such as Data Science, Statistics, Computer Science, Mathematics, or an equivalent combination of relevant education and experience
3+ years of hands-on experience applying Python and SQL to data analysis and machine learning
Solid understanding of core machine learning algorithms, statistical methods, and model evaluation techniques
Demonstrated experience working with both structured and unstructured data
Master’s degree in a quantitative field, such as Data Science, Computer Science, Statistics, or Mathematics (even better)
Experience with cloud platforms (such as Google Cloud Platform, AWS, or Azure) for analytics and model deployment (even better)
Exposure to Generative AI, Large Language Models (LLMs), prompt engineering, or AI agent frameworks (even better)
Familiarity with data pipeline and engineering tools (such as PySpark, Airflow, or BigQuery) (even better)
Experience with data visualization tools (such as Power BI, Tableau, or Dash) (even better)

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 child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningpredictive modelingclassification methodsensemble methodsexploratory data analysisdata analysismodel evaluationstatistical methodsPythonSQL

Soft Skills

collaborationcommunicationproblem-solvinganalytical thinkingtime management