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Principal Data Scientist- Global Marketing Measurement & Optimization

Remote role Full-time Open position

About the position This Principal 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.

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

Requirements

  • 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

Nice-to-haves

  • CPG or Food/Bev experience (preferred)

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

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