Business Data Scientist, Growth and Opportunity Marketing

Responsibilities

• Provide support in media strategy, measurement and optimization that require expertise in advanced analytics work, with focus on marketing analytics methods and data science.
• Improve our understanding of our customers through user segmentation and cohort exploration. Identify and quantify our highest LTV customers, and help us acquire and retain them.
• Design and analyze controlled experiments or counterfactual causal inference studies to examine the incremental impact of our initiatives (marketing and GTM).
• Build the data infrastructure connecting complex first- and third-party user logs to enable your work. Build and improve the infrastructure that you will use for modeling and analysis.
• Work with a range of stakeholders ranging from technical to non-technical. Synthesize and communicate business insights from advanced techniques to executives in simple language.

Requirements

• Master's degree in a quantitative discipline such as 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.

Preferred

• 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 managing end-to-end brand measurement frameworks, including brand lift studies, Marketing Mix Modeling (MMM), or Multi-Touch Attribution (MTA).
• Experience with LTV modeling and user segmentation analyses.
• Experience with querying and manipulating large data sets, particularly in SQL.
• Experience with root cause analysis to ensure that problems are solved at both tactical and strategic levels.