Minimum qualifications:

• Master's degree in a quantitative discipline such as Maths, Economics, Statistics, Engineering, Sciences, or equivalent practical experience.
• 4 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 analytics and media data

Preferred qualifications:

• Experience generating practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.
• Experience with Bayesian approaches and modeling frameworks.
• Experience delivering analysis, fully automated analytics pipelines or audience segmentation and propensity modeling.
• Experience with experimental design and supervised/unsupervised machine learning approaches for both regression and classification tasks.
• Experience in root cause analysis to ensure that problems are solved at both a tactical and strategic level.
• Applied knowledge of R or Python for statistical analysis and SQL.

About the job

Responsibilities

• Provide support in media strategy, measurement and optimization that require 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.