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The Senior Data Scientist will analyze product, customer, and risk data to improve Support and Risk Operations. Responsibilities include defining metrics, forecasting demand, modeling staffing and queue health, evaluating experiments and policies, monitoring risk models for bias and drift, and communicating decisions to product, engineering, and risk stakeholders. The role also leads technical standards, develops reusable analytical tooling, mentors data scientists, and uses AI tools and agent workflows to improve analytical quality and efficiency.

Own and grow a North Seattle sales territory through in-person outreach, business visits, community engagement, partnerships, demos, and full-cycle deal closing. Generate pipeline, sell Square’s software and hardware solutions to restaurants, retailers, and service businesses, build customer relationships, support onboarding, maintain Salesforce activity and forecasts, and consistently exceed sales quotas.

Own the full outbound sales cycle for mid-market merchants, build and manage pipeline through cold outreach and campaigns, craft multi-product Square solutions, run discovery, demos, and negotiations, collaborate cross-functionally, maintain Salesforce pipeline and forecasts, and consistently exceed monthly and quarterly revenue targets.