Staff Data Scientist, Pricing

Prior exposure to a pricing-adjacent domain a strong plus — risk-based pricing (payments, lending, insurance), pricing science, or deal pricing analytics

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

Comfort leveraging AI tools to accelerate modeling and analysis, and a working understanding of generative AI architectures — LLMs, RAG systems, and agentic AI; experience building, testing, or evaluating LLM-powered systems in production a strong plus

The Data Science team at Block turns insights from our unique datasets into actions that improve the customer experience every day.

In this role, we're looking for a Data Scientist to own the modeling and experimentation at the core of how Square prices globally.

You'll build the elasticity and willingness-to-pay models, design and run the pricing experiments, and stand up the analytical infrastructure that makes pricing measurable and controllable — shaping pricing strategy and deal-desk automation through the models and experiments you build.