Staff Data Scientist, Pricing

Block

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$198,000–$297,000 / yr
Posted
95 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k
This role $248k
$110k $317k
below market most similar roles pay here above market

This role pays more than 94% of similar roles. Most pay $140,000–$218,250 — the blue band above. At the midpoint, this role pays about $248k versus about $179k for comparable roles.

Based on 240 similar postings.

Employer

About Block

Block, Inc. (formerly Square) is a financial technology company operating the Square merchant payments ecosystem, Cash App peer-to-peer payments, TIDAL music streaming, and Bitcoin-focused financial services. Industry: Financial Technology & Payments

Block currently has 41 open roles on FindRole.

Listed pay typically runs $217,800–$326,800 across 40 roles with salary data.

Most-posted roles

View all roles at Block

At a glance

TL;DR · Staff Data Scientist, Pricing

JOB TITLE: Careers - Staff Data Scientist, Pricing The Staff Data Scientist, Pricing joins the Data Science team at Block to own modeling and experimentation for global Square pricing. You will build elasticity and willingness-to-pay models, design and run pricing experiments, and establish analytical infrastructure to make pricing measurable and controllable. Key responsibilities include quantifying trade-offs between margin and conversion, decomposing merchant economics, and building pricing intelligence for agentic deal tooling. You will evaluate AI systems for accuracy and bias while managing end-to-end execution across analysis, ETL, and visualization. The role requires proficiency in SQL, Snowflake, and Python, specifically using Pandas and Numpy. You must demonstrate fluency in causal inference, statistical concepts like probability distributions, and experience with generative AI architectures, including LLMs and RAG systems, to solve complex merchant pricing and deal-desk automation problems.

What does a Data Scientist earn in California?

Median $214500 from 114 postings across 26 companies.

See salary data

What you'll do

  • Model price elasticity and willingness-to-pay across different segments, geographies, and payment methods.
  • Design and execute pricing experiments using A/B testing, difference-in-differences, and bandit-based dynamic tests.
  • Build intelligence for agentic deal tooling to provide accurate rate recommendations and mispricing detection.
  • Evaluate and monitor AI systems for accuracy, bias, and drift in production environments.
  • Develop and maintain self-serve dashboards and curated datasets for price realization and margin leakage analysis.
  • Write code to process and combine diverse data sources into curated ETL datasets for the broader team.
  • Measure the impact of AI-driven pricing automation using causal inference methods.

What we're looking for

  • A bachelor's degree in statistics, data science, economics, or a similar STEM field with 7+ years of relevant experience.
  • A graduate degree in statistics, data science, economics, or a similar STEM field with 5+ years of relevant experience.
  • 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 like Tableau or Looker.
  • Experience with scripting and data analysis programming languages such as Python or R.
  • Solid understanding of statistical concepts including selection bias, probability distributions, and conditional probabilities.
  • Comfort leveraging AI tools and a working understanding of generative AI architectures like LLMs and RAG systems.
  • Prior exposure to risk-based pricing, pricing science, or deal pricing analytics (preferred).

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