Responsibilities

• Provide support in media and marketing measurement and optimization that require expertise in advanced analytics work, with special focus on applying data science to marketing analysis approaches.
• Drive 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 and marketing plan.
• 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.

Requirements

• Master's degree in a quantitative discipline such as 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.
• Experience in causal inference, A/B testing, statistical modeling, or machine learning.

Preferred

• 6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• Experience in campaign brand or conversion lift measurement and using analytical insights to guide media and marketing planning, or working with digital marketing: performance incrementality geo experiments (match market tests).
• Experience delivering analysis, fully automated analytics pipelines or audience segmentation and propensity modeling.
• Understanding of Bayesian approaches and modeling frameworks.
• Ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.