Marketing Mix Modeling Expert
1 month ago
The Role:&
- 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 high-quality 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 cross-market 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 hands-on MMM deployments where necessary.& &
The Person:&
- 10+ years of experience in Data Science (hands-on experience with MMMs strongly recommended)&
- Bachelor's 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&
If you see a good fit, apply now to start a conversation.
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