Senior Data Scientist, Marketing

What you'll do

• Build statistical and machine learning models for advertiser propensity, lifetime value, budgeting, forecasting, and retention.
• Lead advertiser geo-testing and develop new incrementality-testing frameworks using causal inference and experimental methods.
• Design and implement advanced measurement frameworks to quantify marketing ROI across paid media, email, and organic channels.
• Analyze advertiser behavior across the end-to-end journey to identify factors influencing acquisition, conversion, and churn.
• Build and optimize ETL pipelines to automate reporting and support feature engineering for analytical models.
• Design and maintain automated dashboards that provide stakeholders with self-service, AI-powered decision-making capabilities.
• Translate complex analytical findings into actionable recommendations for technical and non-technical stakeholders and senior leadership.

What we're looking for

• 6+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
• Master's degree in a quantitative field such as mathematics, statistics, computer science, or engineering.
• Strong background in statistics and quantitative analysis with experience in applying advanced statistical techniques to real-world problems.
• Expertise in at least one scripting language, ideally Python or R.
• Proficiency in SQL/Hive with the ability to write efficient SQL queries.
• Hands-on experience building marketing measurement solutions to quantify the business impact of marketing tactics and investments.
• Strong experimentation background with experience in causal inference projects.
• Demonstrated experience using AI to improve speed and quality in day-to-day work.