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Senior Data Scientist - GTM Data Science

Sydney, Australia

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, 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.

The Role

The Data Science team at Block derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. In this role, we're looking for a Data Scientist to join the GTM Data Science team, with a primary focus on building the measurement foundation for our AI-powered tools and bots. You'll define how we evaluate effectiveness, track performance, and drive automation across our go-to-market motion- while also doing the broader Data Science work that informs Go to Market strategy.

You Will

  • Analyze large datasets using SQL, Python and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders.
  • Own end-to-end execution across the stack — analysis, pipeline, ETL, experimentation, and visualization
  • Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior
  • Develop evaluation frameworks and criteria for AI-powered bots and automation tools (e.g. reliability, task completion, business impact)
  • Build and maintain measurement systems for key performance metrics across AI tools, including coverage, accuracy, and downstream conversion
  • Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives
  • Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team
  • Build and share data visualizations and self-serve dashboards for your partners
  • Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

You Have

  • A bachelor degree in statistics, data science, or similar STEM field with 7+ years of experience in a relevant role OR
  • A graduate degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role
  • Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
  • Experience with scripting and data analysis programming languages, such as Python or R
  • Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities

 

We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to identity or other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page.

Block is a globally distributed company and this role will require working with other employees in multiple time zones. You may be required to perform work outside of normal business as part of this role.

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As a company, we celebrate and embrace diversity. We encourage you to voluntarily provide demographic information so we can learn more about our hiring pipeline and invest in efforts to build a workforce as diverse as the customers and communities we serve. Feel free to check out our Life At Square page to learn more about our inclusion and diversity initiatives.

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