Senior Data Scientist

The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. In this role, you’ll be embedded in our Operating System organization and our Local workstream. You’ll work closely with product management as well as other cross-functional partners around our new Local initiative which aims to bring together the Cash App and Square ecosystems to engage customers in their local communities.

If the thought of trying to understand questions like: 'Who are our early adopters?', 'Where are we growing?', 'What do we need for product market fit?',and '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.

As a Data Scientist you will:

• Work in collaborative team environment including Product, Design, Engineering and Research to shape how we bring together Cash App and Square
• Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis
• Analyze data using SQL and scripting languages to surface 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
• 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 partners

Requirements

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
• A bachelor degree in statistics, data science, or similar STEM field with 7+ years of experience in a relevant role OR
• A graduate degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role
• Advanced proficiency with SQL and data visualization tools (e.g. Mode, Tableau, etc)
• Experience with scripting and data analysis programming languages, such as Python or R
• Experience in a role where you need to understand trends and patterns, but might not have sufficient data to run statistical experiments is beneficial

Technologies we use and teach:

• SQL (We use Snowflake)
• Python (Pandas, Numpy)
• Mode, Tableau, Airflow, Prefect