Programmatic Ads Data Science Lead

Company Overview

Block started with a simple idea in 2013 that revolutionized the peer-to-peer payment landscape. Since then, Cash App has evolved into a comprehensive financial ecosystem. Offering a suite of financial products including Afterpay/Clearpay, we aim to redefine financial interaction, making it relatable, instant, and universally accessible. With 47 million active users monthly, we stay committed to innovation.

Our culturally rich team of thousands globally thrives on innovation, impact, and collaboration. Operating in office and remote setups across several countries, Cash App ensures that each employee, irrespective of their location, feels creative, productive, and valued. Discover more about our workplace and unique offerings at .

Job Description: Lead Data Scientist, Programmatic Ads

The Data Science team at Cash App puts our 47 million users at the center of everything we do. Partnering closely with key departments, we utilize our rich datasets to enhance user experience daily. Join our Commerce team as the Lead Data Scientist to innovate our advertising solutions, notably in our robust onsite Afterpay advertising and pioneering new off-platform connections.

As a leader, you will define strategic dire ctions and build foundational data models that prompt business growth. By developing strategic partnerships within Product and Sales teams, you will leverage data to drive our business goals, improve marketing efficiency, and decipher user behavior through rigorous analyses.

Your responsibilities will include:

• Enhancing programmatic marketing strategies through robust modeling to maximize ROI.
• Designing and evaluating experiments to assess marketing campaign impacts.
• Utilizing SQL and scripting languages like Python or R to derive actionable insights from large datasets.
• Applying statistical and mathematical models to solve complex business questions.
• Creating comprehensive ETL datasets, data visualizations, and dashboards for stakeholder engagement.
• Communicating insights and findings effectively across the team and company.

Qualifications:

We are looking for:

• Advanced degree in Statistics, Data Science, or related STEM field with at least 5 years of relevant experience or Bachelor’s degree with 7+ years of experience.
• Deep expertise in SQL and data visualization tools like Tableau or Looker.
• Proficiency in scripting and data analysis programming languages such as Python or R.
• Strong understanding of cohort analysis, causal inference, and statistical concepts.

Technologies We Use:

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

Compensation and Location:

Block offers a market-aligned compensation structure that varies by geographic zones (A through D), starting from USD $207,900 to USD $311,900. Specific zone information and further details can be accessed .

Ready to redefine financial technology? Join Cash App’s dynamic team as we transform the way the world interacts with money. Apply Today!