Global Data Scientist – Marketing Measurement and Optimization

McCormick & Company

Global Data Scientist enhancing marketing measurement and optimization capabilities. Leading data-driven projects to foster brand growth and effective decision making at McCormick.

Posted 6/8/2026full-timeRemote • Maryland • 🇺🇸 United StatesMid-LevelSenior💰 $87,910 - $153,870 per yearWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

data sciencemedia analyticsstatistical modelsdata visualizationSQLPythonmachine learningAIdata modelingforecasting

Soft Skills

project leadershipproblem solvingagile learningcollaborationcommunicationpresentation skillsattention to detailquality of workcross-functional partnershipsbusiness storytelling

Tools & Technologies

Power BIdemand forecasting platformmarketing optimization toolsmedia measurement toolsA/B testinglift studiessyndicated datadata dashboardsmedia effectiveness toolscreative testing

Industry Keywords

Marketing Mix ModelingMedia Effectiveness TestingConsumer Packaged GoodsFood and Beveragedata analyticslong term brand equity measurementin-flight measurementcomplex datasetsbusiness understandingtechnical methodology

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Bachelor’s degree in Mathematics, Statistics, Engineering or Data Analytics/Science, or closely related field
4+ years’ experience in data science, with media analytics exposure a plus
Demonstrated sound understanding of concepts, principles and practices in Marketing and Sales
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
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)
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 (preferred)

Benefits

Comp & perks

Competitive compensation
Career growth opportunities
Flexibility and Support for Diverse Life Stages and Choices
Wellbeing programs including 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