Cash App is the fastest growing financial brand in the world. Built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic money app with over 15 million active monthly users. Loved by customers and by pop culture, they’ve held the #1 spot in finance on the App Store for almost two years, and their social media posts see more engagement in a day than most financial brands see in a year. With major offices in San Francisco, New York, St. Louis, Portland, Kitchener-Waterloo, and Melbourne, Cash App is bringing a better way to send, spend, and save to anyone who has ever sought an alternative to today’s banking system.
Job Description
They are looking for Product Data Scientists to join Square and help build Cash App, the fastest growing financial app in the world. They are reinventing the way people think about banking and financial services through their P2P, Banking, Cash Card, Boost, BTC, and stock investing products. They derive valuable insights from our extremely unique datasets and turn those into actions that improve the experience for our customers every day. This role is part of their Cash App Analytics team and will be deeply embedded within one of their product teams.
Qualifications
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 they make to the product
- Work with engineers to log new, useful data sources as they 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
You have
- 1-2 years of data science and analytics experience in the industry
- A Ph.D. 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 and R
- Advanced proficiency with SQL and data visualization tools (e.g. Tableau)
- Experience with cohort and funnel analyses, a deep understanding of 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 they use and teach
- SQL (MySQL, Snowflake, BigQuery, etc.)
- Python, R
- Tableau, Airflow, Looker
Additional Information
Cash App treats all employees and job applicants equally. Every decision is based on merit, qualifications, and talent. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. They will consider for employment qualified applicants with criminal histories in a manner consistent with each office’s corresponding state and city guidelines.
