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About the Role

The Data Scientist will own the modeling and experimentation at the core of how Square prices globally. This includes building elasticity and willingness-to-pay models, designing and running pricing experiments, and establishing the analytical infrastructure for measurable and controllable pricing.

Responsibilities

• Model price elasticity and willingness-to-pay across segments, geographies, and payment methods, quantifying trade-offs between margin, conversion, and merchant retention.
• Design, execute, and report on pricing experiments (A/B, difference-in-differences, and bandit-based dynamic tests), translating results into strategic recommendations.
• Decompose merchant economics across interchange, scheme, and risk-cost layers to identify pricing flexibility.
• Build pricing intelligence for Square's agentic deal tooling (DealBot), including rate recommendations, ROI and pre-approval logic, guardrail configurations, and mispricing detection.
• Evaluate and monitor AI systems, including pre-deployment testing for accuracy, edge cases, and bias, and in-production monitoring for accuracy, drift, and mispricing.
• Own end-to-end execution across analysis, pipeline, ETL, experimentation, and visualization.
• Apply first principles and statistical/modeling techniques to understand customer behavior and price response.
• Build and maintain pricing analytics dashboards and datasets for price realization, margin leakage, discount-waterfall, and win/loss analyses.
• Measure the impact of AI-driven pricing automation using causal methods on deal velocity, quote acceptance, and margin.
• Write code to process, cleanse, and combine data sources into curated ETL datasets.
• Partner closely with cross-functional stakeholders across Finance, Risk, Product, and go-to-market teams, translating complex technical concepts for non-technical audiences.

Requirements

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

Skills

• SQL
• Snowflake
• Python
• Pandas
• Numpy
• Tableau
• Looker
• Causal Inference
• Experimentation
• Price Elasticity Modeling
• Willingness-to-Pay Modeling
• Risk-Based Pricing
• Pricing Science
• Deal Pricing Analytics
• Data Visualization
• Scripting
• Data Analysis
• Cohort Analysis
• Funnel Analysis
• Statistical Concepts
• AI Tools
• Generative AI
• LLMs
• RAG Systems
• Agentic AI

Location

• U.S.

Work Type

• Remote work

Experience Level

• 7+ years of experience (with Bachelor's)
• 5+ years of experience (with Graduate degree)

Education Level

• Bachelor's degree in statistics, data science, economics, or similar STEM field
• Graduate degree in statistics, data science, economics, or similar STEM field

Salary/Compensations

• Zone A: $239,600—$359,400 USD
• Zone B: $239,600—$359,400 USD
• Zone C: $239,600—$359,400 USD
• Zone D: $239,600—$359,400 USD

Benefits

• Remote work
• Medical insurance
• Flexible time off
• Retirement savings plans
• Modern family planning

About the Company

• Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy.
• Square makes commerce and financial services accessible to sellers.
• Cash App is the easy way to spend, send, and store money.
• Afterpay is transforming the way customers manage their spending over time.
• TIDAL is a music platform that empowers artists to thrive as entrepreneurs.
• Bitkey is a simple self-custody wallet built for bitcoin.
• Proto is a suite of bitcoin mining products and services.
• Together, we’re helping build a financial system that is open to everyone.

Equal Opportunity

• Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class.
• We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
• We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process.
• We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.