Staff Data Scientist, Pricing
Block, Inc. is a global financial-technology company building products for economic empowerment across payments, consumer finance, commerce, Bitcoin, music, and AI.
Maintainer signals as of 9/25/2026
Projects
About Block, Inc.
Block, Inc., formerly Square, Inc., operates the Square and Cash App ecosystems and current businesses including Afterpay, TIDAL, Bitkey, Proto, and Spiral. Its current Bitcoin ecosystem includes Cash App Bitcoin services, Bitkey self-custody wallet technology, Proto mining systems, and Spiral open-source Bitcoin initiatives. Block also develops open-source AI and collaboration projects including Goose, Buzz, and Berd.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Own modeling and experimentation for global pricing, including price elasticity and willingness-to-pay models, pricing experiments, analytical infrastructure, AI system evaluation, ETL datasets, dashboards, causal impact measurement, and stakeholder recommendations.
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 experience, including price elasticity or willingness-to-pay modeling.
- Advanced SQL and data visualization skills with tools such as Tableau or Looker.
- Python or R experience for scripting, data analysis, and AI system evaluation.
- Strong cohort and funnel analysis experience and knowledge of statistical concepts.
- Working understanding of generative AI architectures, including LLMs, RAG systems, and agentic AI.
- Pricing-adjacent experience in risk-based pricing, pricing science, or deal pricing analytics is a plus.
Responsibilities
- Model price elasticity and willingness-to-pay across segments, geographies, and payment methods.
- Design, run, and interpret pricing experiments, including A/B, difference-in-differences, and bandit-based tests.
- 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
Hiring Process
Applications may be evaluated using automated AI tools. Candidates may submit up to 9 active applications within 60 days, and reapplications to the same role are accepted 90 days after a previous application has been reviewed.