Senior Data Scientist- Global Marketing Measurement & Optimization Location: Hunt Valley, Maryland, US, 21031 Hybrid Workplace: Full-Time Department: Sales and Marketing Job Description: You may know McCormick as a leader in herbs, spices, seasonings, and condiments – and we’re only getting started. At McCormick, we’re always looking for new people to bring their unique flavor to our team. McCormick employees – all 14,000 of us across the world – are what makes this company a great place towork. We are looking to hire a Senior Data Scientist, Global Marketing Measurement and Optimization immediately in a Hybrid (50/50) capacity at our Global Headquarters in Hunt Valley, Maryland. What We Bring To The Table: The best people deserve the best rewards. In addition to the benefits you’d expect from a global leader (401k, health insurance, paid time off, etc.) we also offer: • Competitive compensation • Career growth opportunities • Flexibility and Support for Diverse Life Stages and Choices • Wellbeing programs including Physical, Mental and Financial wellness • Tuition assistance Position Summary: 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) As a general policy, McCormick does not offer employment visa sponsorships upon hire or in the future. 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. In addition to a competitive compensation package, permanent employees of McCormick are eligible for our extensive Total Rewards programs that include: - 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 It is the policy of McCormick and Company to select and promote for all positions without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Role Description As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. - Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. - Analytics: You will guide teams using data and insights, focusing on developing hypotheses and employing a varied toolkit of rigorous analytical approaches, methodologies, frameworks, and technical approaches to test them. - Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. Responsibilities - Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. - Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. - Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. - Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. - Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. Qualifications - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. - A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.). - Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. - Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R). Preferred Qualifications - Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements). - Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews). - Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies. - Master's or Ph.D. Degree in a quantitative field. Compensation CA$163,000/year to CA$211,000/year + bonus + equity + benefits

• Translate ambiguous customer questions into well-scoped data science projects spanning panel data, time series, and causal inference • Engineer features from large alternative-data panels (transaction-level, invoice-level, web-scraped) using Spark • Build, validate, and interpret causal and predictive models that link alternative-data signals to financial outcomes such as revenue, earnings surprise, and KPI inflections • Author technical white papers and customer analyses for institutional investors and Fortune 500 readers, including figures, equations, and narrative framing for sophisticated readers • Use LLM coding assistants and agents as a primary collaborator: prototype faster, write higher-quality code, audit your own work, and ship deliverables in compressed timelines • Build internal LLM-driven tooling (agents, eval harnesses, retrieval pipelines) for the broader organization • Partner with data engineering, product, and revenue teams to close the loop between signal development and the customer-facing product • Set technical standards for the team: PEP 8, type hints, vectorized operations, reproducible notebooks, sound methodology, and citation discipline

• Analyzes problems and develops solutions involving computer software programs and applications • Applies theoretical expertise and innovation to create or apply new technology • Supports EHR and other clinical or business information system database application build and maintenance • Completes assigned tasks in project and/or tracking system • Participates in activities related to project pre-work, configuration, testing, training, activation, and post-live support and stabilization