Role Description This Senior Data Scientist, Global Marketing Measurement and Optimization, will be responsible for bringing the data science expertise that is needed to lead a range of projects to drive better understanding of short- and long-term marketing effectiveness, including the next generation of technical modeling that powers McCormick’s marketing measurement and optimization program. McCormick can drive unprecedented brand growth by learning how to better measure all aspects of marketing/media design and execution and bringing these different analytics together to provide a holistic view on the drivers of short- and long-term growth and build predictive models to enable better decision making. The role is designed to give McCormick the data and analytical engine to make this happen. Key Responsibilities - Lead the design and implementation of next-gen media measurement and optimization capabilities, integrating marketing mix, long term brand equity measurement, in-flight measurement (e.g., lift studies, A/B testing), pre-market factors that affect media (e.g., creative testing). - Develop media-driven volume forecasting tools to integrate into McCormick’s demand forecasting platform. - Drive and leverage external connections to find new and improved tools and approaches to bring into McCormick. - Partner with vendors used for outsourced models, serving as lead consultant on technical methodology alignment integration with new capabilities. - Develop training content that enables business partners to use marketing optimization capabilities more effectively. Qualifications - Bachelor’s degree in Mathematics, Statistics, Engineering or Data Analytics/Science, or closely related field. - 8+ years’ experience in data science, with media analytics expertise. - Demonstrated sound understanding of concepts, principles and practices in Marketing and Sales. - Understanding of the business and technical aspects of Marketing Mix Modeling, Media Effectiveness Testing tools (Lift, A/B, etc.), Creative Testing, and proficiency for the evolution of and other tools in the Media Effectiveness Space. - Demonstrated skills and results in analyzing complex datasets, generating insights and building robust statistical models. - Demonstrated ability to connect the dots between complex data/analytics and business understanding. - Proficiency with building dashboards for business users using data visualization software (Power BI preferred). - Expertise in SQL and Python coding. - Demonstrated experience with building data models, machine learning & AI. - Comfortable working with structured and unstructured data sources, e.g. syndicated data, SAP. - Proven project leadership experience with demonstrated success in balancing multiple projects in a fast-paced environment; foresees and addresses issues before they become significant obstacles. - Strong technical curiosity, a passion for problem solving and the ability to uncover richness of analytic insight that translates to business opportunity. - Demonstrated agile learning skills; ability to learn new technology, skills & tools quickly and easily. - Ability to synthesize analytic learnings and translate into compelling stories for a business audience. - Effective at building collaborative, cross functional and cross-geography partnerships. - Excellent written communication and presentation skills. - Ability to travel internationally, as needed (0-5%). - Strong personal leadership, including attention to detail, quality of work and bias toward action. - CPG or Food/Bev experience (preferred). Requirements - Base Salary: $103,520 - 181,150. - Base salary compensation will be determined based on factors such as geographic location, skills, education, experience for this role, and/or internal equity of our current employees as part of any final offer. - This position is also eligible to participate in McCormick’s Sales Incentive Bonus (SIB) Plan. Benefits - Competitive compensation. - Career growth opportunities. - Flexibility and Support for Diverse Life Stages and Choices. - Wellbeing programs including Physical, Mental and Financial wellness. - Tuition assistance. - Comprehensive health plans covering medical, vision, dental, life and disability benefits. - Family-friendly benefits such as paid parental leave, fertility benefits, Employee Assistance Program, and caregiver support. - Retirement and investment programs including 401(k) and profit-sharing plans.

• Own data science at Rundoo end-to-end: turning ambiguous business questions into crisp scopes, delivering robust analysis on predictable timelines, and building lightweight internal systems so insights are reproducible. • Deliver high-trust analysis on clear timelines: stakeholders trust both the answer and the ETA; assumptions and limits are explicit. • Translate business problems into analysis + system requirements: turn vague asks into crisp scopes, metrics definitions, and data contracts. • Build and maintain internal decision systems: ship lightweight tools/workflows so insights are reproducible and maintainable by others. • Partner with GTM teams: help Sales/GTM move from “interesting analysis” to actions (e.g., prospecting lists, territory design, experimentation). • Proactively surface issues: detect anomalies, broken assumptions, or misallocated spend without waiting for a ticket. • Support fundraising readiness: contribute to an evergreen, credible data pool and reporting that leadership can rely on.

• Lead the design, development, and deployment of scalable machine learning models to optimize vehicle selling and demand management • Identify business opportunities and collaborate with stakeholders to translate complex business requirements into machine learning solutions that drives growth and impact • Collaborate with engineering and product teams to deploy Data Science services and embed them in the Auto1 tech infrastructure • Monitor and improve model performance in production, communicate results with stakeholders and develop actionable next steps • Mentor and support junior data scientists, setting technical direction and ensuring best practices

• Translate complex business questions into clear problem statements, success metrics, and actionable quantitative solutions • Use an iterative approach: start with quick, decision-useful analysis, then refine based on feedback and observed impact • Implement and maintain reliable ML/analytics pipelines, partnering with engineering as needed to productionize and monitor • Deliver clear, impactful insights to stakeholders • Collaborate across the Product organization to operationalize data science solutions that inform strategy and optimize the user experience • Contribute to data science and product analytics best practices through documentation, code reviews, and knowledge sharing