Lead Machine Learning Engineer – Marketing Mix Modeling

Lead Machine Learning Engineer – Marketing Mix Modeling

Requirements

• 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
• Ability to balance practical business needs with technical possibilities
• 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!

Responsibilities

• 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!

Preferred Qualifications

No preferred qualifications provided.