Develop both descriptive and predictive MMMs that accurately measure the incremental impact of marketing and non-marketing drivers
Expand our modeling solutions to support a growing number of geographic locations and product groups
Integrate additional measurement methodologies and data to ensure accurate measurement of marketing return on investment
Balance technical capabilities with practical business needs
Measure both short
and long-term impact of marketing to guide budget allocation across funnel stages to drive sustainable business growth
Communicate model results effectively to partners and executives
Continuously improve modeling techniques and capabilities as the analytical landscape evolves
Contribute to the overall growth of the team!

MS/PhD in Economics, Statistics, Physics, Mathematics, Computer Science, or a related quantitative field
3-4 years of experience in developing and operationalizing MMM and marketing science solutions
Strong technical expertise in MMM and ML algorithms, with the ability to connect model insights to business outcomes
Experience with experimentation/causal inference methods
Experience in deploying models from development to production environments
Proficiency in ML programming languages like Python, R, etc. and data querying languages (e.g. SQL)
Experience with cloud platforms for scalable model training and deployment
Strong communication skills and the ability to explain technical terms to business stakeholders
Ability to build positive working relationships and collaborate in cross-functional teams
A curious mind, passion, and motivation to learn new skills, tools, and techniques!

Lead Machine Learning Engineer, Marketing Mix Modeling

Key skills