Senior Data Scientist - Support

Company Description

Block was born from an idea in 2013 and initially developed to alleviate the difficulties of peer-to-peer payments. Cash App has evolved from a basic product with a sole function to a versatile app, presenting an improved method for sending, spending, investing, borrowing and saving for our community of millions of active users monthly. Our mission is to reshape the global understanding of money, making it more relatable, available, and accessible. At Cash App, you'll have the chance to make a tangible impact with your career.

Today, Cash App boasts thousands of employees worldwide who bring a culture focused on creativity, teamwork, and influence. We've always appreciated the flexibility of distributed teams, and continue to embrace working across time zones and continents, either remotely or in our Cash App offices.

While our offices are excellent, numerous roles can be performed remotely in the countries where Block operates. We personalize our experience to stimulate our employees’ creativity and productivity, no matter their location.

Job Description

The Cash App Support organization is expanding and we're seeking Data Scientists (DS) to join the team. The DS team at Cash App lends valuable insights from our uniquely vast datasets and translates those insights into actions that enhance our customers' experience daily. You will be an integral part of our Support organization, working closely with operations and other cross-functional partners to cultivate substantial changes in how our customers engage with the Support team and solve account-related problems.

As a Data Scientist, your duties will comprise:

• Partnering directly with a Cash App consumer support team, collaborating closely with operations, engineers, and machine learning
• Examining vast datasets via SQL and scripting languages to reveal actionable insights and opportunities to the product team and other essential stakeholders
• Applying a first-principles approach through a variety of statistical and mathematical modeling techniques to study and understand customer behavior
• Designing and analyzing A/B experiments to assess the impact of product modifications
• Working alongside engineers to register new, useful data sources as we develop new product features
• Building, forecasting, and reporting on metrics that drive strategy and facilitate decision making for key business initiatives
• Writing code to effectively process, clean, and combine various data sources in unique and useful ways, often resulting in curated datasets that are easily utilized by the wider team
• Constructing and sharing data visualizations and self-serve dashboards for your partners
• Communicating your work effectively with team leads and cross-functional stakeholders on a regular basis

Qualifications

You possess:

• An understanding of the connection between your work and the customer's experience. Any prior connection to or interest in customer support issues would be advantageous
• A bachelor's degree in statistics, data science, or a similar STEM field, along with 4+ years in a relevant role OR
• A master's degree in statistics, data science, or a similar STEM field, along with 2+ years in a relevant role
• Advanced proficiency in SQL and data visualization tools (e.g., Tableau, Looker, etc.)
• Experience with scripting and data analysis programming languages, such as Python or R
• Experience with cohort and funnel analyses, a profound understanding of statistical concepts such as selection bias, probability distributions, and conditional probabilities
• Experience in a rapidly growing tech environment
  

We utilize and teach the following technologies:

• SQL, Snowflake, etc.
• Python (Pandas, Numpy)
• Tableau, Airflow, Looker, Mode, Prefect

Additional Information