Data Scientist

Role Description

Square's Sales organization is where we're placing our biggest bets, and the go-to-market (GTM) Data Science team sits at the heart of that growth engine. Reporting to the Sales Data Science lead, you'll own a mature subdomain of our Sales function and contribute across the full channel, alongside peers in Sales Data Science (DS) and the wider GTM Data Science org. The role is a rare combination: you'll be a trusted analytics leader who sales executives turn to for the ground truth on business performance, and a hands-on data scientist who solves big, ambiguous problems end to end. This is a DS team on the front lines of AI, one that uses agents daily to clear away the mundane and free up time for the high-impact, technically challenging work that moves the business forward. You'll grow here: there's no shortage of hard problems, plenty of sharp colleagues to learn from, and the leverage to scale your impact well beyond your own domain.

You Will:

• Own performance measurement for your subdomain: monitoring the metrics that matter (wins, new revenue, funnel conversion, rep productivity), reporting against plan, and presenting the story in business reviews with sales leadership.
• Lead investigations into performance questions ("why is X down?", "how can we improve Y?"), decomposing KPIs from first principles and designing experiments to test what actually works.
• Take on large, ambiguous projects autonomously: scoping the problem, finding the right data, thinking critically about what it can and can't tell you, and landing the results with stakeholders.
• Own and evolve your subdomain's data foundation, and partner with Sales DS peers on shared metrics, attribution logic, and cross-cutting analyses.
• Translate data into business context: telling the story behind the numbers, pushing back on hypotheses with evidence, and building trust with senior sales, finance, and operations leaders.
• Work AI-natively: use agents throughout your workflow and pioneer new ways of applying AI to the hardest problems in the sales domain.
• Build self-serve dashboards and datasets that let the sales org answer its own questions.
• Raise the bar for the team's analytical rigor, communication, and AI-enabled ways of working.

Qualifications

• 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; comfort owning the full stack from ETL to analysis to visualization.
• Strong statistical foundations: experiment design, causal inference, funnel and cohort analysis, and forecasting; you can interpret results with rigor and explain the concepts behind them.
• A track record of running large projects end to end with minimal direction; you're the person leadership trusts when the numbers matter.
• Strong critical thinking: you know when to move fast and when to slow down on a problem with big consequences, and you pressure-test your own conclusions.
• Exceptional communication: you can present performance to executives, translate technical nuance for non-technical partners, and write analysis documents that stand on its own.
• Enthusiasm for building with AI, and curiosity about how far it can be pushed in data science work.
• Curiosity about unfamiliar data and how sales organizations actually work, and the empathy to partner well with the people on the frontline.

Requirements

• Nice to have, but not required: Prior experience supporting sales, GTM, or revenue organizations.
• Familiarity with fintech, payments, or the SMB merchant space.
• We value strong fundamentals and curiosity over industry background; we'll teach you our domain.

Benefits

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