# Staff Data Scientist AI and Pricing

**Company:** [Square](https://hotfix.jobs/companies/square)
**Location:** California
**Role:** Data Science
**Salary:** $240k – $359k/yr
**Experience:** 7+ years
**Skills:** SQL, Python, pandas, NumPy, Snowflake, Causal Inference, A/B Testing, price elasticity modeling, Tableau, Looker, LLMs, RAG, Agentic AI
**Posted:** 2026-07-22

> Staff Data Scientist owning pricing models and experiments for Square globally. Build elasticity/willingness-to-pay models, run causal experiments, develop AI-powered deal tooling, and monitor production AI systems while partnering with Finance, Risk, and Product teams.

## Job Description

## Responsibilities
- Model price elasticity and willingness-to-pay across segments, geographies, and payment methods, and quantify the trade-off between margin, conversion, and merchant retention.
- Design, run, and read out pricing experiments (A/B, difference-in-differences, and bandit-based dynamic tests) and translate results into recommendations that shape strategy.
- Decompose merchant economics across interchange, scheme, and risk-cost layers to identify where pricing can flex and where it can't.
- Build the pricing intelligence that powers Square's agentic deal tooling (DealBot) — rate recommendations, ROI and pre-approval logic, guardrail configurations, and mispricing detection — so quotes are fast, accurate, and within guardrails at scale.
- Evaluate and monitor the AI systems you ship — pre-deployment testing for accuracy, boundary and edge cases, and bias in rate recommendations, and in-production monitoring for accuracy, drift, and mispricing — so agentic pricing tools stay reliable as the business changes.
- Own end-to-end execution across the stack — analysis, pipeline, ETL, experimentation, and visualization.
- Approach problems from first principles, using a variety of statistical and modeling techniques to understand customer behavior and price response.
- Build and maintain the pricing analytics the team relies on — price realization, margin leakage, discount-waterfall, and win/loss analyses — as self-serve dashboards and curated datasets.
- Measure the impact of AI-driven pricing automation with causal methods (interrupted time series, difference-in-differences) on deal velocity, quote acceptance, and margin.
- Write code to process, cleanse, and combine data sources into curated ETL datasets easily used by the broader team.
- Partner closely with cross-functional stakeholders across Finance, Risk, Product, and go-to-market teams, translating complex technical and AI concepts clearly for non-technical audiences.

## Requirements
- A bachelor degree in statistics, data science, economics, or similar STEM field with 7+ years of experience in a relevant role OR a 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.
- Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc).
- Experience with scripting and data analysis programming languages, such as Python or R, including using them to evaluate AI system behavior.
- Gone deep with cohort and funnel analyses, with a solid understanding of statistical concepts such as selection bias, probability distributions, and conditional probabilities.
- Comfort leveraging AI tools to accelerate modeling and analysis, and a working understanding of generative AI architectures — LLMs, RAG systems, and agentic AI.

## Nice-to-Haves
- Prior exposure to a pricing-adjacent domain a strong plus — risk-based pricing (payments, lending, insurance), pricing science, or deal pricing analytics.
- Experience building, testing, or evaluating LLM-powered systems in production a strong plus.

## Technologies
- SQL, Snowflake
- Python (Pandas, Numpy)

## Similar roles

- [Staff Product Data Scientist, Lending](https://hotfix.jobs/jobs/0cf6c53f-8959-4e81-9b76-a5fd292fef89) - Square - Seattle, WA - $240k – $359k/yr
- [Senior / Staff Data Scientist, Growth Product](https://hotfix.jobs/jobs/7f03d53a-0308-4435-9782-7aa17aefa013) - Suno - New York, NY - $240k – $300k/yr
- [Senior / Staff Data Scientist, Mobile Consumer Create](https://hotfix.jobs/jobs/43ec6395-b1e1-4cc5-986c-92648c7b0542) - Suno - Los Angeles, CA - $240k – $300k/yr
- [Sr. Staff Data Scientist](https://hotfix.jobs/jobs/349b0fae-6ff1-4f4c-95a6-84746aa049c6) - Reddit - Remote - $233k – $326k/yr
- [Senior Staff Data Scientist - Consumer Relevance](https://hotfix.jobs/jobs/8bc123da-08f2-4138-ba5a-2ba70c7aa73c) - Reddit - Remote - $233k – $326k/yr

**Apply:** https://hotfix.jobs/jobs/ae97e167-11fd-49c2-a7d9-6a0df3bd4f68
**Canonical:** https://hotfix.jobs/jobs/ae97e167-11fd-49c2-a7d9-6a0df3bd4f68