The Cash App Support organization is growing and we are looking for a Data Scientist (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

Qualifications

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)
  • Looker, Mode, Tableau, Prefect, Airflow

Additional Information

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.

Zone A: USD $170,000.00
Outside Zone A: USD $160,000.00

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