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Staff Data Scientist, Pricing

Block· 20408 S&M - Sales - Square RevOps & Enablement
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Hybrid (Bay Area)$198k - $297kFull-timePosted 2mo ago

About the role

Data Scientist role focused on pricing at Square/Block, owning modeling, experimentation, and analytics to optimize global pricing, elasticity, and deal tooling.

Responsibilities

  • Model price elasticity and willingness-to-pay across segments, geographies, and payment methods, and quantify trade-offs between margin, conversion, and merchant retention
  • Design, run, and read out pricing experiments (A/B, difference-in-differences, bandit-based dynamic tests) and translate results into strategic recommendations
  • Decompose merchant economics across interchange, scheme, and risk-cost layers to identify pricing flexibilities
  • Build pricing intelligence powering agentic deal tooling (DealBot) including rate recommendations, ROI/pre-approval logic, guardrail configurations, and mispricing detection
  • Evaluate and monitor AI systems in production — pre-deployment testing for accuracy and bias, in-production monitoring for drift and mispricing
  • Own end-to-end execution across the stack — analysis, pipeline, ETL, experimentation, visualization
  • Approach problems from first principles using various statistical/machine learning techniques to understand customer behavior and price response
  • Build and maintain pricing analytics (price realization, margin leakage, discount-waterfall, win/loss analyses) as self-serve dashboards/datasets
  • Measure impact of AI-driven pricing automation with causal methods on deal velocity, quote acceptance, and margin
  • Write code to process, cleanse, and combine data sources into curated ETL datasets for the broader team
  • Partner with Finance, Risk, Product, and GTM teams, translating complex technical concepts for non-technical audiences

Qualifications

  • Bachelor’s degree in statistics, data science, economics, or similar STEM field with 7+ years of experience in a relevant role OR
  • Graduate degree in statistics, data science, economics, or similar STEM field with 5+ years of experience in a relevant role
  • Fluency in causal inference and experimentation, with hands-on experience modeling price elasticity or willingness-to-pay
  • Prior exposure to a pricing-adjacent domain a strong plus — risk-based pricing, pricing science, or deal pricing analytics
  • Advanced proficiency with SQL and data visualization tools (e.g., Tableau, Looker)
  • Experience with scripting/data analysis languages such as Python or R, including evaluating AI system behavior
  • Experience with cohort and funnel analyses; solid understanding of selection bias, probability distributions, and conditional probabilities
  • Comfort leveraging AI tools to accelerate modeling/analysis; working understanding of generative AI architectures (LLMs, RAG, agentic AI); experience building/testing/evaluating LLM-powered systems in production a strong plus

Skills

Required:Price elasticity modelingCausal inference and experimentationSQLData visualizationPython or RExperimentation designCohort/funnel analysisCommunication with non-technical stakeholders

Benefits

  • Remote work
  • Medical insurance
  • Flexible time off
  • Retirement savings plans
  • Modern family planning
  • Other benefits described on Block/Company pages
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Block

Block builds technology to increase access to the global economy.

Made up of Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto, Block, Inc. builds technology to increase access to the global economy.

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