Block
Data Scientist
Remote 20408 S&M - Sales - Square RevOps & Enablement role with clear candidate location fit.
PostedRecently added
Eligible countries1 accepted country
Seniority signalOpen level
Work settingRemote
Accepted candidate locations
USA
Role overview
Data Scientist
Requirements and responsibilities
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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
You Have
- 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
You Have
- Prior experience supporting sales, GTM, or revenue organizations
- Familiarity with fintech, payments, or the SMB merchant space
Technologies We Use and Teach
- SQL, Snowflake, Databricks, Python (Pandas, NumPy)
- Looker, Omni, Airflow, dbt-style ETL patterns
- Agentic AI: agent skills and bots, automated reporting workflows, in-house tooling
- Salesforce and the modern GTM data stack
- A/B, matched-market, and causal testing
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