Marketing Mix Modeling Expert

• Work closely with client leadership and the business product owner to define the objectives and success criteria of the global Marketing Mix Modeling (MMM) program.
• Define and implement standardized MMM processes and outputs supporting various business use cases and product scope and scale.
• Oversee global data governance council for MMM continuously improving data governance with regional leads to ensure highquality output.
• Establish and maintain benchmarks and best practices for model quality.
• Manage relationships with global Modeling partners setting expectations and ensuring performance across regions with support from data scientists.
• Design MMM data approach and acquire new data for models as required.
• Aggregate MMM results globally to generate valuable crossmarket insights and establish performance benchmarks internally.
• Collaborate with Business Product Owners to define the business transformation agenda including designing workshops enhancing data literacy for business users and developing training modules.
• Develop globally standardized analytics processes for MMM including creating playbooks and providing training for regional team members. May lead handson MMM deployments where necessary.

• 10 years of experience in Data Science (handson experience with MMMs strongly recommended)
• Bachelors degree in marketing Advertising Economics Computer Science Information Systems Business Analytics or related field. OR equivalent professional work experience.
• Hands on experience working with MMMs with an understanding of the technical elements required in building and maintaining forecasts and advanced models preferred
• Experience using simulations for scenario analysis and recommendations
• Experience delivering model result to business users and have recommendation implemented
• Proficiency in SQL and Python or R required
• Can write production level code understand principles of programming preferred
• Experience with Tech stacks such as MLFlow Spark Databricks Sagemaker preferred

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