Join Cash App as a Senior Data Scientist - Operating Systems

Company Description

Our journey began at Block in 2013 with a mission to simplify peer-to-peer payments. Today, Cash App has evolved into a comprehensive ecosystem offering unique financial products like Afterpay/Clearpay. Our aim is to revolutionize how our 47 million monthly active users send, spend, invest, borrow, and save money. We strive to make money management intuitive, instantly accessible, and universally available to redefine people's financial relationships.

Currently, Cash App employs thousands of people globally in both office and remote settings. Our culture is built on innovation, collaboration, and significant impact. As a distributed team from day one, many of our roles offer remote work opportunities within the countries where Cash App operates. Regardless of location, we foster a work environment that ensures our employees are creative, productive, and happy.

Discover more about our locations, benefits, and career opportunities at .

Job Description

Our Data Science team turns unique datasets into actionable insights that enhance our customer experience daily. As a Senior Data Scientist embedded in our Operating Systems organization, you will closely collaborate with product management and other cross-functional teams. You will play a critical role in shaping the Cash App experience, driving customer acquisition, onboarding, product discovery, engagement, and retention.

Key Responsibilities:

• Analyze large datasets using SQL and scripting languages to provide actionable insights and opportunities.
• Employ a variety of statistical and mathematical modeling techniques to understand customer behavior from first principles.
• Design and analyze A/B experiments to assess the impact of product changes.
• Collaborate with engineers to log new, valuable data sources as we develop new features.
• Build, forecast, and report on metrics to drive strategy and decision-making.
• Write code for processing, cleansing, and combining data sources into curated ETL datasets.
• Create and share data visualizations and self-serve dashboards with your team.
• Effectively communicate your findings to team leads and cross-functional stakeholders.

Qualifications

Required:

• Bachelor's degree in statistics, data science, or a related STEM field with 7+ years of relevant experience; OR a graduate degree with 5+ years of relevant experience.
• Advanced proficiency in SQL and data visualization tools (e.g., Tableau, Looker).
• Experience with scripting and data analysis programming languages such as Python or R.
• Proven expertise in cohort and funnel analyses, including a deep understanding of statistical concepts like selection bias, probability distributions, and conditional probabilities.

Technologies We Use and Teach:

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

Additional Information

Block adopts a market-based approach to compensation, varying by geographic location within the U.S. based on a cost-of-labor index. The starting pay for the successful candidate will be based on job-related skills, experience, qualifications, work location, and market conditions. These ranges are subject to future adjustments:

• Zone A: USD $171,800 - USD $257,600
• Zone B: USD $163,200 - USD $244,800
• Zone C: USD $154,600 - USD $232,000
• Zone D: USD $146,000 - USD $219,000

To find a location’s zone designation, please refer to this .

Company Name: Block

Job Title: Senior Data Scientist - Operating Systems