Marketing Mix Modeling Expert

4 weeks ago


Los Angeles, United States tlnt Full time
Job DescriptionJob DescriptionTLNT is hiring a Market Mix Modeling Expert to work closely with CPG clients, delivering valuable insights and driving business growth. Responsibilities include defining global standards, managing data governance, and generating cross-market insights. If this role sounds interesting, let's talk& &
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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