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Cash App
Senior Data Scientist - Support
atĀ Cash App
12 months ago | 893 views | 1 applications

Senior Data Scientist - Support

Full-time
Remote

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 worldā€™s 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. Weā€™ve 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:

šŸ“Partner directly with a Cash App customer support team, working closely with operations, engineers, and machine learning šŸ“Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders šŸ“Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior šŸ“Design and analyze A/B experiments to evaluate the impact of changes we make to the product šŸ“Work with engineers to log new, useful data sources as we build new product features šŸ“Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives šŸ“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 šŸ“Build and share data visualizations and self-serve dashboards for your partners šŸ“Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

Qualifications

You have: šŸ“An 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 šŸ“A bachelor degree in statistics, data science, or similar STEM field with 4+ years of experience in a relevant role OR šŸ“A graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant role šŸ“Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc) šŸ“Experience with scripting and data analysis programming languages, such as Python or R šŸ“Experience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities šŸ“Experience in a high-growth tech environment

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