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Block

Staff Data Scientist, Pricing

Block · Bay Area, CA, United States of America

Posted about 3 months ago

or apply directly on Block's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Block's roles stay open a median of 80 days
Reposted
No
Salary listed
No
22% of Block's roles list one
Ghost-job risk at Block
high
203 stale, 7 reposted of 208 open
Hiring momentum
298 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Block's own greenhouse board since 2026-08-03. Full hiring picture for Block.

About this role

The Staff Data Scientist in Pricing at Square will focus on developing pricing models and conducting experiments to optimize pricing strategies globally. This role involves analyzing customer behavior, building analytical infrastructure, and collaborating with cross-functional teams to enhance the pricing process. The Data Scientist will also evaluate AI systems related to pricing and ensure the accuracy and reliability of pricing tools.

Our read on this posting2.6out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Block as an employer.

What you need

  • Bachelor's 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
  • Deep understanding of statistical concepts such as selection bias, probability distributions, and conditional probabilities

Nice to have

  • Prior exposure to a pricing-adjacent domain such as risk-based pricing, pricing science, or deal pricing analytics
  • Comfort leveraging AI tools to accelerate modeling and analysis, and a working understanding of generative AI architectures
  • Experience building, testing, or evaluating LLM-powered systems in production

What you get

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

Worth weighing

  • No specific salary listed, but ranges provided based on geographic zones
  • Role involves significant collaboration with cross-functional teams, which may require strong communication skills
  • The position emphasizes both statistical modeling and AI evaluation, indicating a blend of traditional and modern data science practices

Summarised from Block's posting. Read the full original.

Listed by Block on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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