TLNT 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 crossmarket insights. If this role sounds interesting lets 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 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.
The Person:
- 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
If you see a good fit apply now to start a conversation.
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