About the company
It all started with an idea at Block in 2013. Initially 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 ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the worldās relationship with money to make it more relatable, instantly available, and universally accessible. Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. Weāve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
Job Summary
As a Data Scientist you will:
šPartner directly with a Cash App customer support team, working closely with operations, engineers, and machine learning šAnalyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders šApproach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior šDesign and analyze A/B experiments to evaluate the impact of changes we make to the product šWork with engineers to log new, useful data sources as we build new product features šBuild, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives šWrite 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 šBuild and share data visualizations and self-serve dashboards for your partners šEffectively communicate your work with team leads and cross-functional stakeholders on a regular basis
Qualifications
You have: šAn appreciation for the connection between your work and the experience it delivers to customers. Previous exposure to or interest in customer support problems would be great to have šA bachelor degree in statistics, data science, or similar STEM field with 4+ years of experience in a relevant role OR šA graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant role šAdvanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc) šExperience with scripting and data analysis programming languages, such as Python or R šExperience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities šExperience in a high-growth tech environment
