Programmatic Ads Data Science Lead

Job Description
The Data Science team at Cash App is customer-obsessed, collaborates intensely with other key disciplines, and always makes decisions with an eye towards Cash App’s business as a whole. The goal of the DS team is to derive valuable insights from our extremely unique datasets and turn those insights into actions that improve the experience for our customers every day.
We’re hiring a Data Science Lead to join the Commerce team, supporting our programmatic ads business. We have developed a robust onsite advertising business on Afterpay and now we’re looking to build the next generation of our advertising business that will connect our merchants and customers more deeply off-platform.
We’re seeking an exceptional Data Scientist to help define the strategy for this business and lay the foundation for transformative, highly complex, “0 to 1” features. You will play a critical role in accelerating Cash App’s growth by focusing on developing a strategic thought partnership with our teams in Product and Sales, and leverage data to enable us to achieve our roadmap goals, make effective spend decisions across marketing channels and understand the impact of incentives on Cash App users.
You will:
Build models to optimize our programmatic marketing efforts to ensure our spend has the best possible ROI
Design and analyzeexperiments to evaluate the impact of marketing campaigns we launch
Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the Marketing product team and other key stakeholders
Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior &
segments
Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives
Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team
Build and share data visualizations and self-serve dashboards for your partners
Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis