About this role
Lead the design, development, validation, and deployment of advanced statistical and machine learning models that power Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), audience analytics, and first-party data initiatives, translating complex data into actionable insights that enable data-driven marketing and media investment decisions across the organization.
- Bachelor's or master's degree in data science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- 5+ years of experience in Data Science, Marketing Analytics, or related fields, with hands-on experience building statistical/ML models.
- Python (pandas, scikit-learn, statsmodels; PyMC/Stan or open-source MMM libraries such as Robyn/Meridian/PyMC-Marketing preferred) and SQL
- Statistical modeling: regression, time series, Bayesian methods
- Machine learning: classification, clustering, forecasting, optimization
- Cloud platforms: AWS, Azure, or GCP (GCP preferred)
- Data visualization and BI tools (e.g., Looker, Power BI, Tableau)
- Familiarity with data warehousing and data modeling concepts