Senior Data Scientist, Support

Company Description
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 world'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. We'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. Check out our locations, benefits, and more at cash.app/careers.
Job Description
The Cash App Support organization is growing and we are looking for Data Scientists (DS) to join the team. The DS team at Cash derives valuable insights from our extremely unique datasets and turn those insights into actions that improve the experience for our customers every day. In this role, you'll be embedded in our Support org and work closely with operations and other cross-functional partners to drive meaningful change for how our customers interact with the Support team and resolve issues with their accounts.
You will:

• Partner directly with a Cash App customer support team, working closely with operations, engineers, and machine learning
• Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the operations team and other key stakeholders
• Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand advocate and customer behavior
• Design and analyze A/B experiments to evaluate the impact of changes we make to our operational processes and tools
• Work with engineers to log new, useful data sources as we evolve processes, tooling, and 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 partners
• Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

You have:

• 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
• A bachelor degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role OR A graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant role
• Advanced proficiency with SQL and data visualization tools (e.g. Looker, Tableau, etc)
• Experience with scripting and data analysis programming languages, such as Python or R 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, Snowflake, etc.
• Python (Pandas, Numpy)
• Tableau, Airflow, Looker, Mode, Prefect

We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page .
Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
To find a location's zone designation, please refer to this resource . If a location of interest is not listed, please speak with a recruiter for additional information.
Zone A:
$142,000 - $213,000 USD
Zone B:
$134,900 - $202,300 USD
Zone C:
$127,800 - $191,600 USD
Zone D:
$120,700 - $181,100 USD
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.