San Francisco, California, USA
40 days ago
Staff Data Scientist, Dashboard Analytics

Job Description

Square’s mission is economic empowerment and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable experience. The Dashboard Analytics team plays an essential role in optimizing growth and engagement across the Square ecosystem, by conducting experiments on digital surfaces, distilling data into insights, and influencing decisions with actionable recommendations.

Senior Data Scientist in the role will be working with the teams responsible for sellers' onboarding, Dashboard engagement, or Getting support. As a Data Scientist, you will use data engineering, business intelligence, analytics, statistics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and ensure a cohesive customer experience. You will lead efforts to define metrics that track progress against organizational goals, provide insights to our sellers about their business, and collaborate with a wide range of cross-functional partners to ensure we can drive strategic decisions for our sellers with data.

You will:

Partner directly with the Dashboard team to make data-driven decisions by applying descriptive and predictive analytics where it will have a material impact

Build foundational metrics and KPIs in business intelligence tools (e.g. Looker, Amplitude) to measure the health of our business

Work with the engineering team to implement high quality product event logs

Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insights

Prioritize rigorously amidst different stakeholders, ensuring your contributions have the most impact on Square’s strategic decisions & bottom line

Communicate analysis and decisions to high-level partners and executives in verbal, visual, and written media

Develop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful

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