Staff Data Scientist, Pricing

Block
San Francisco
Workplace: RemoteFull timeUSD 239,600 - 359,400 annuallyFunction: Data Science & Machine LearningExperience: 7+ yearsEducation: bachelorsSkills: ["Causal inference","Experimentation","Statistical modeling","Data analysis","Cross-functional communication"]

Own data science modeling and experimentation for how Square prices globally. Build price elasticity and willingness-to-pay models, run A/B and causal pricing experiments, and translate results into strategy and deal-desk automation. Create analytics and curated ETL datasets powering DealBot (rate recommendations, ROI, guardrails, mispricing detection), while monitoring AI systems in production for accuracy, drift, and bias. Partner with Finance, Risk, Product, and go-to-market teams to deliver measurable impact.

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FursaFursa
Block
Block
1 month ago

Staff Data Scientist, Pricing

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Own data science modeling and experimentation for how Square prices globally. Build price elasticity and willingness-to-pay models, run A/B and causal pricing experiments, and translate results into strategy and deal-desk automation. Create analytics and curated ETL datasets powering DealBot (rate recommendations, ROI, guardrails, mispricing detection), while monitoring AI systems in production for accuracy, drift, and bias. Partner with Finance, Risk, Product, and go-to-market teams to deliver measurable impact.
Location: San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Model price elasticity and willingness-to-pay across segments, geographies, and payment methods to 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 findings into strategy recommendations.
  • •Decompose merchant economics across interchange, scheme, and risk-cost layers to identify where pricing can flex.
  • •Build pricing intelligence for DealBot, including rate recommendations, ROI/pre-approval logic, guardrail configurations, and mispricing detection.
  • •Own end-to-end execution across the stack (analysis, pipelines, ETL, experimentation, and visualization) and monitor AI systems for accuracy, drift, and bias in-production.

Pay and Benefits

Salary: USD 239,600 - 359,400 annually
Perks:Remote WorkHealth InsurancePaid LeaveParental Leave

Key Requirements

  • •Bachelor’s degree in statistics, data science, economics, or similar STEM field with 7+ years of relevant experience, or a graduate degree with 5+ years of relevant experience.
  • •Fluency in causal inference and experimentation, including hands-on experience modeling price elasticity or willingness-to-pay.
  • •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/funnel analyses and statistical concepts like selection bias, probability distributions, and conditional probabilities.
Experience:7+ years
Education:Bachelor's in statistics, data science, economics, or similar STEM field
Skills:Causal inferenceExperimentationStatistical modelingData analysisCross-functional communication
Languages:English
Tech Stack:SQLSnowflakePythonPandasNumPyTableauLookerRLLMsRAGAgentic AIETL

Company Brief

Block
Builds financial services and commerce tools to empower businesses and individuals, operating products such as Square, Cash App, Spiral (Bitcoin initiatives), TIDAL, and developer-focused payment and banking solutions.
Industry: Fintech Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2009
WebsiteLinkedIn