Job Description

We are looking for Senior Product Data Scientists to join Block and help build Cash App, the fastest growing financial app in the world. We are reinventing the way people think about banking and financial services through our P2P, Banking, Cash Card, Boost, BTC, and stock investing products. We derive valuable insights from our extremely unique datasets and turn those into actions that improve the experience for our customers every day.

As a PDS at Cash App you will:

• Partner directly with a Cash App product team, working closely with product managers, engineers, and designers
• Analyze large datasets using SQL and scripting languages to surface meaningful/actionable insights and opportunities to the 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
• Design and analyze A/B experiments to evaluate the impact of changes we make to the product
• Work with engineers to log new, useful data sources as we build new product features
• 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 product team
• Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

Qualifications

You have:

• 1-2 years of data science and analytics experience in industry
• A PhD or other relevant graduate degree in the physics, economics, statistics, or a similar STEM field
• Experience with scripting and data analysis programming languages, such as Python or R
• Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
• Experience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities
• Experience in a high-growth tech environment
• An appreciation for the connection between your work and the experience it delivers to customers
• Intellectual curiosity and a passion for what Cash App is building
   

Technologies we use and teach:

• SQL (MySQL, Snowflake, BigQuery, etc.)
• Python (Pandas, Numpy)
• Tableau, Airflow, Looker