Staff Web Data Scientist, Growth Marketing Analytics

Company Description
Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn't work together.
So we expanded into software and started building integrated, omnichannel solutions - to help sellers sell online, manage inventory, offer buy now, pay later functionality through Afterpay, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we've embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes - large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We're building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
Job Description
The Growth Marketing Analytics team at Square is responsible for leveraging data science and analytics to make recommendations to drive full funnel efficiencies and measure the impact of marketing initiatives and web surfaces on driving business outcomes. As a Senior Web Data Scientist within our Data organization, you will play an essential role in optimizing growth on Square's web surfaces by conducting experiments, distilling data into insights, and influencing web strategy decisions through actionable recommendations. You will partner closely with Marketing and Engineering teams responsible for web strategy and platforms to drive towards measurable web strategy goals and site optimizations. In addition to partnering closely with web stakeholder teams, you will work closely with other technical subject matter experts within our Go-To-Market (GTM) data organization to share best practices, key resources, and collaborate on cross-functional GTM priorities.
You Will:

• Own the partnership with Web strategists and engineers to design experimentation plans for on-site optimizations and new features, create post-test readouts, troubleshoot test data issues within GrowthBooks, and identify actionable recommendations based on experiment results.
• Keep a pulse on the latest measurement methodologies and tools to aid in defining web measurement strategy, predictive visitor classification, and experimentation.
• Create and execute measurement approaches to help solve critical requests like assessing the combined impact of web optimizations on business outcomes or predicting the quality web traffic.
• Work with technical subject matter experts including platform and data engineers to ensure web data accuracy and identify optimization opportunities.
• Deliver regular business critical reports on web performance, ensuring consistency, accuracy and timeliness with actionable insights on learnings
• Develop effective measurement frameworks and reports for non-technical audiences to enable actionable insights to improve seller's onsite experience and aid in moving sellers through the funnel
• Partner with cross functional teams including fellow data experts, finance, and marketing to help add context around how web surface performance impacts gross performance trends.

Qualifications

• You are an expert with 8+ years of experience in quantitative analytics or data science with a focus on leveraging web data to drive business outcomes.
• Strong technical skills with SQL, Python, and data visualization tools (ex: Looker)
• Deep experience designing web experiments and leveraging tools like Opitmizely and GrowthBook to evaluate test results
• Familiarity with organic and paid marketing initiatives including understanding how different traffic source channels have divergent behavior and needs
• Excellent communication skills, particularly when explaining technical matters to less technical co-workers or an executive audience
• Deep experience working with web measurement tools like Google Analytics (including GA4), ContentSquare, and FullStory, and robust understanding of web measurement and web metric definition best practices
• Comfortable dealing with ambiguous problems and experimenting with different approaches
• Demonstrated ability to influence decision makers and work with cross-functional partners
• Comfort working in a fast-paced, matrixed organization, with multiple stakeholders across time zones
• Familiarity with data warehouse design, development and best practices

Qualifications

• You are an expert with 8+ years of experience in quantitative analytics or data science with a focus on leveraging web data to drive business outcomes.
• Strong technical skills with SQL, Python, and data visualization tools (ex: Looker)
• Deep experience designing web experiments and leveraging tools like Opitmizely and GrowthBook to evaluate test results
• Familiarity with organic and paid marketing initiatives including understanding how different traffic source channels have divergent behavior and needs
• Excellent communication skills, particularly when explaining technical matters to less technical co-workers or an executive audience
• Deep experience working with web measurement tools like Google Analytics (including GA4), ContentSquare, and FullStory, and robust understanding of web measurement and web metric definition best practices
• Comfortable dealing with ambiguous problems and experimenting with different approaches
• Demonstrated ability to influence decision makers and work with cross-functional partners
• Comfort working in a fast-paced, matrixed organization, with multiple stakeholders across time zones
• Familiarity with data warehouse design, development and best practices