Data Scientist

Block•Bay Area, CA, United States of America, CA

3d•$168,300 - $297,000•Remote

About The Position

Square's Sales organization is a key area of investment, and the go-to-market (GTM) Data Science team is central to its growth. This role reports to the Sales Data Science lead and involves owning a mature subdomain within the Sales function, while also contributing across the entire channel. The position combines the responsibilities of a trusted analytics leader for sales executives, providing ground truth on business performance, with the hands-on work of a data scientist tackling large, ambiguous problems from beginning to end. The team is at the forefront of AI, utilizing agents to automate mundane tasks and focus on high-impact, technically challenging work that drives the business forward. There are ample opportunities for growth, learning from sharp colleagues, and scaling impact beyond one's own domain.

Requirements

Minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent experience.
Advanced SQL and strong Python skills; proficiency across the full stack from ETL to analysis to visualization.
Strong statistical foundations: experiment design, causal inference, funnel and cohort analysis, and forecasting; ability to interpret results rigorously and explain underlying concepts.
Proven track record of managing large projects end-to-end with minimal direction.
Strong critical thinking skills: ability to discern when to move fast and when to slow down on critical problems, and to rigorously test one's own conclusions.
Exceptional communication skills: ability to present performance to executives, translate technical details for non-technical partners, and write comprehensive analysis documents.
Enthusiasm for building with AI and curiosity about its potential in data science work.
Curiosity about unfamiliar data and sales organizations, with the empathy to partner effectively with frontline teams.

Nice To Haves

Prior experience supporting sales, GTM, or revenue organizations.
Familiarity with fintech, payments, or the SMB merchant space.

Responsibilities

Own performance measurement for your subdomain: monitoring key metrics (wins, new revenue, funnel conversion, rep productivity), reporting against plan, and presenting findings in business reviews with sales leadership.
Lead investigations into performance questions (e.g., "why is X down?", "how can we improve Y?"), decomposing KPIs from first principles and designing experiments to validate solutions.
Take on large, ambiguous projects autonomously: scoping problems, identifying relevant data, critically assessing data limitations, and delivering results to stakeholders.
Own and evolve your subdomain's data foundation, and collaborate with Sales DS peers on shared metrics, attribution logic, and cross-cutting analyses.
Translate data into business context: communicating the story behind the numbers, challenging hypotheses with evidence, and building trust with senior sales, finance, and operations leaders.
Work AI-natively: utilize agents throughout the workflow and pioneer new applications of AI to complex sales domain problems.
Build self-serve dashboards and datasets to enable the sales organization to answer its own questions.
Elevate the team's analytical rigor, communication skills, and AI-enabled work practices.