Data Scientist, Web Experience Management

  • Denver, CO, USA
  • Employees can work remotely
  • Full-time
  • Alternate Location: Los Angeles, United States
  • Position open to remote: Yes

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 lifecycle of product development. Data Scientists on this team lead 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 Web Experience Management team is a center of excellence on web best practices at Square, and is responsible for performance of key, cross-product web experiences. The team’s work has a direct impact on Square, helping translate some of the most complex aspects of Square’s product ecosystem and helping other Square product teams optimize their web content to maximize high value sign ups. 

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 and cross-product problems

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

  • Lead the data strategy of any related 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

At Square, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)squareup.com. We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible.

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
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