Staff Data Scientist Pricing
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.
Maintainer signals as of 8/20/2026
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
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own modeling and experimentation for global pricing. You will build price elasticity and willingness-to-pay models, design pricing experiments, develop analytical infrastructure, evaluate AI pricing systems, create ETL datasets and dashboards, measure automation impact, and translate technical findings into recommendations for Finance, Risk, Product, and go-to-market stakeholders.
Requirements
- Bachelor's degree in statistics, data science, economics, or a similar STEM field with 7+ years of relevant experience, or a graduate degree with 5+ years of relevant experience
- Causal inference and experimentation
- Price elasticity or willingness-to-pay modeling
- Advanced SQL
- Data visualization tools such as Tableau or Looker
- Python or R
- Cohort and funnel analysis
- Statistical concepts including selection bias, probability distributions, and conditional probabilities
- Generative AI architectures including LLMs, RAG systems, and agentic AI
Responsibilities
- Model price elasticity and willingness-to-pay across segments, geographies, and payment methods
- Design, run, and interpret pricing experiments
- Analyze merchant economics across interchange, scheme, and risk-cost layers
- Build pricing intelligence for rate recommendations, ROI logic, pre-approval logic, guardrails, and mispricing detection
- Evaluate AI systems for accuracy, edge cases, bias, drift, and mispricing
- Own analysis, pipelines, ETL, experimentation, and visualization
- Build pricing analytics dashboards and curated datasets
- Measure the impact of AI-driven pricing automation using causal methods
- Process, cleanse, and combine data sources into curated ETL datasets
- Partner with Finance, Risk, Product, and go-to-market stakeholders
Benefits
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning
