Data Scientist
Block, Inc. is a technology company building tools for economic empowerment, operating a portfolio of financial brands including Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto. It serves sellers, consumers, artists, and bitcoin users through payments, banking, buy-now-pay-later, music streaming, and bitcoin self-custody and mining products.
About Block, Inc.
Block, Inc. builds technology aimed at increasing access to the global economy. Its brands each unlock different aspects of the economy: Square makes commerce and financial services accessible to sellers; Cash App is an easy way to spend, send, and store money; Afterpay (Clearpay in the UK) helps customers manage spending over time; TIDAL is a music platform empowering artists as entrepreneurs; Bitkey is a self-custody bitcoin wallet; and Proto builds open, accessible bitcoin mining hardware and services. Block has been a long-time advocate for bitcoin, integrating bitcoin buying/selling and Lightning Network payments into Cash App and Square, funding open-source bitcoin infrastructure through Spiral (including the Lightning Development Kit), and engaging in bitcoin policy advocacy through groups like COPA, the Digital Energy Council, the Crypto Council for Innovation, and the Texas Blockchain Council. The company also runs a significant open source program (contributing to projects like Goose, an on-machine AI developer agent, OkHttp, Retrofit, gRPC, Envoy, and MySQL) and an AI research effort, including co-founding the Agentic AI Foundation with Anthropic and OpenAI. Block serves individual consumers, small and medium-sized businesses/merchants, artists, and developers.
Skills
About the Role
You will own performance measurement for a sales subdomain, monitor core metrics, report against plan, and present business reviews to sales leadership. You will investigate performance questions, design and interpret experiments, and lead ambiguous projects from scoping through stakeholder delivery. You will develop data foundations, dashboards, and datasets; collaborate on shared metrics and attribution; and translate analysis into clear business context. You will use AI agents in your workflow and improve analytical rigor, communication, and AI-enabled practices.
Requirements
- Minimum of 8 years of related experience with a Bachelor's degree, 6 years with a Master's degree, or 3 years with a PhD, or equivalent experience
- Advanced SQL and strong Python
- Experience owning the full stack from ETL to analysis to visualization
- Strong statistical foundations in experiment design, causal inference, funnel and cohort analysis, and forecasting
- Track record of running large projects end to end with minimal direction
- Ability to present performance to executives and translate technical nuance for non-technical partners
- Enthusiasm for building with AI
Responsibilities
- Own performance measurement, monitor sales metrics, report against plan, and present business reviews
- Lead investigations into performance questions and design experiments
- Scope and deliver large, ambiguous projects autonomously
- Own and evolve the data foundation for the sales subdomain
- Partner on shared metrics, attribution logic, and cross-cutting analyses
- Translate data into business context for senior sales, finance, and operations leaders
- Use AI agents and pioneer AI applications in sales data science
- Build self-serve dashboards and datasets
- Improve analytical rigor, communication, and AI-enabled ways of working
Benefits
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Family planning