Staff Data Scientist - Programmatic Ads Lead

Company Overview:

Since its inception at Block in 2013, Cash App has transformed from a basic peer-to-peer payment service into a diverse financial ecosystem. Initially crafted to simplify payment processes, today, Cash App offers pioneering financial solutions such as Afterpay/Clearpay, enhancing ways to send, spend, invest, borrow, and save. Serving over 47 million monthly active users, our mission is to redefine the global perspective on money, making financial services more relatable, promptly available, and universally accessible.

About Our Team:

With thousands of employees spread across both office and remote locations worldwide, Cash App promotes a workplace culture rich in innovation, collaboration, and impact. As a company that has embraced a distributed team model from the start, many of our roles are available remotely, aligning with Cash App's presence in various countries.

Discover more about our locations, benefits, and opportunities at .

Job Description: Join Our Data Science Team

The Data Science team at Cash App is dedicated to understanding our customers' needs and enhancing their experience through insightful data analysis and strategic development. Positioned within the Commerce team, the new hire will propel our programmatic ads sector, moving beyond our robust onsite advertising at Afterpay to a more expansive, next-generation off-platform advertising approach. This role is fundamental in deepening the connection between our merchants and customers through innovative advertising solutions.

You Will:

• Develop models to optimize programmatic marketing efforts to maximize ROI.
• Design and analyze experiments to assess the impact of marketing initiatives.
• Utilize SQL and scripting languages for comprehensive data analysis, uncovering actionable insights that drive product and marketing strategies.
• Employ statistical and mathematical modeling to understand customer behaviors and segmentation.
• Create pivotal ETL datasets, data visualizations, and self-serve dashboards.
• Communicate findings and strategies effectively across teams and stakeholders.

Who You Are:

We are seeking a candidate who demonstrates:

• Advanced proficiency in SQL and data visualization tools like Tableau, Looker, etc.
• Strong capabilities in data analysis programming languages such as Python or R.
• Extensive experience with Causal Inference and external data sources.
• Ability to translate complex, ambiguous problems into actionable insights.
• A solid foundation in statistical concepts and data analysis methodologies.

Education & Experience:

A Bachelor’s degree in Statistics, Data Science, or a related STEM field with over 7 years of relevant experience, OR a Graduate degree with 5+ years of experience.

Technologies We Use:

SQL, Snowflake, Python (Pandas, Numpy), Tableau, Airflow, Looker, Mode, Prefect

Location & Compensation:

Block offers a market-based compensation structure. Salaries may vary by location within the U.S., categorized into four distinct zones:

• Zone A: USD $207,900 - USD $311,900
• Zone B: USD $207,900 - USD $311,900
• Zone C: USD $207,900 - USD $311,900
• Zone D: USD $207,900 - USD $311,900

To verify your location's zone, please refer to

Apply Now: Ready to redefine the future of digital commerce and advertising? Join Cash App as the Staff Data Scientist - Programmatic Ads Lead and drive transformative results that connect and grow our user community.