• The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes. • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies. • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance. • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements. • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements. • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

• Develop and refine predictive models • Conduct exploratory data analysis • Generate AI-driven insights to enhance intelligence and operational planning • Integrate customer feedback into model iteration cycles • Leverage Agile development methodologies to maintain responsiveness to mission requirements • Submit Predictive Model Performance Report documenting key findings, model accuracy metrics, and operational impact assessments • Implement sprint-based Agile methodologies • Provide Rough Order of Magnitude (ROM) Estimate Report before each analytics project • Conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows

• Lead the design, development, and deployment of scalable machine learning models to optimize vehicle sales and demand management • Identify business opportunities and collaborate with stakeholders to translate complex business requirements into machine learning solutions that drive growth and impact • Work closely with engineering and product teams to deliver data science services and integrate them into the Auto1 tech infrastructure • Monitor and improve model performance in production, communicate results to stakeholders, and define actionable next steps • Mentor and support junior Data Scientists, set technical direction, and ensure best practices

• Design, develop, and deploy machine learning models to solve complex business problems in AdTech • Analyze large datasets to generate actionable insights • Build and maintain scalable data pipelines using big data tools • Perform data preprocessing, cleaning, feature engineering, and model evaluation • Collaborate with cross-functional teams including engineers, analysts, and product managers • Ensure model accuracy, reliability, and scalability through rigorous testing and validation • Stay updated on emerging data science techniques, tools, and best practices • Contribute to team discussions, process improvements, and knowledge sharing