
Data Scientist, Marketing
- Dublin
- Permanent
- Full-time
- Master's degree or equivalent in a quantitative discipline such as Math, Economics, Statistics, Engineering, Sciences, or equivalent practical experience.
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- Experience working with marketing and media data and transformations required for analytics.
- Experience delivering marketing mix modeling and Geo-Experiments end-to-end.
- Understanding of Bayesian approaches and modeling frameworks.
- Proven ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.
- Provide support in media strategy, measurement, and optimization that requires expertise in advanced analytics work, with special focus on Marketing Mix Models (MMMs).
- Partner with internal teams in advanced analytics work including experimentation, measurement, and modeling.
- Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media plan.
- Deliver customer-centric, data-driven approach, based on a people-based marketing strategy to build, segment, and test audiences for best business results.
- Develop evaluation frameworks for large-scale models, new metrics, and investigate anomalies. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods.