Requirements

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

Nice to haves

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.

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