Data Scientist, Lifecycle Analytics

  • Oakland, CA
  • Full-time

Company Description

Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.

Job Description

Data Scientists on the Lifecycle Analytics team at Square embed within product teams and leverage engineering, analytics, and machine learning to empower data-driven decision making in the full cycle of product development. This team leads experimentation and growth initiatives, develop automation solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data. Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby enabling us to build a remarkable product experience.

The Lifecycle product team is responsible for building and optimizing several core experiences: Square’s public website, onboarding flows, Support Center, and the Square Dashboard tool. These surface areas serve as the face of the company, and are among the first impressions for many customers. The product team focuses on platform tools that have outsized benefits and help other teams at Square to iterate faster. Together, these touch points paint a vivid picture for our customers on how the Square ecosystem can solve their needs - today and tomorrow.

You Will:

  • Partner with product stakeholders to make data-driven decisions across the organization by leveraging descriptive and predictive analytics where it will have a material impact

  • Apply a diverse set of tactics including statistics, quantitative reasoning, and machine learning, to solve problems as well as independently research and produce actionable insights

  • Own, coordinate, and solve complex, cross-functional problems

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

  • Lead the data strategy of Lifecycle product engineering, influencing them to make well-informed architecture and design decisions that affect data at Square

  • Provide comprehensive day-to-day analytics support, develop tools and resources to empower data access and self-service so your expertise can be leveraged where it is most impactful

  • Work with other team members on medium and long-term initiatives that span across product domains

Qualifications

You have:

  • 3+ years of analytics experience or equivalent

  • Extremely strong written and verbal communication skills and ability to build strong relationships and influence with product partners

  • Proven ability to lead cross-functional projects that depend on the contributions of others in a variety of disciplines

  • Fluency with data, analytics and visualization technologies (We primarily use SQL, Looker, and Python)

  • Experience in applying both data-backed heuristics and machine-learning techniques to solve practical product problems such as predicting churn, cross selling, clustering user archetypes, and more

  • Familiarity with data warehouse design, development and best practices

Additional Information

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. Square is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any 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.

Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Perks

At Square, we want you to be well and thrive. Our global benefits package includes:

  • Healthcare coverage
  • Retirement Plans
  • Employee Stock Purchase Program
  • Wellness perks
  • Paid parental leave
  • Paid time off
  • Learning and Development resources

Square, Inc. (NYSE: SQ) builds tools to empower businesses and individuals to participate in the economy. Sellers use Square to reach buyers online and in person, manage their business, and access financing. Individuals use Cash App to spend, send, store, and invest money. And TIDAL is a global music and entertainment platform that expands Square's purpose of economic empowerment to artists. Square, Inc. has offices in the United States, Canada, Japan, Australia, Ireland, Spain, Norway, and the UK.

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