Job Description

We are looking for a Senior Product Data Scientist to join our Global Markets team and help build Cash App, the fastest growing financial app in the world, globally. Data Science is at the core of everything we do, and this is no different as we enter new markets. If the thought of trying to understand questions like, Who are our early adopters? Where are we growing in this country? What do we need for product market fit? How can we grow faster? excite you, then this is the role for you. In this role, it is especially important to be able to tell a powerful story, backed by data, to a broad range of team members, from product to operations, to help us be as successful as possible in new markets.

As a PDS at Cash App you will:

• Work in collaborative team environments including Product, Marketing, Engineering, Design and Research to shape Cash App in new markets.
• Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis
• 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
•  

Qualifications

You have:

• Intellectual curiosity and a passion for what Cash App is building
• An appreciation for the connection between your work and the experience it delivers to customers
• 3+years of data science and analytics experience in industry
• A graduate degree in the physics, economics, statistics, or a similar STEM field or 
• Experience with scripting and data analysis programming languages, such as Python (preferable) or R
• Advanced proficiency with SQL and data visualization tools (e.g. Tableau)
• 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

Technologies we use and teach:

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