Data Scientist, Measurement Analytics

  • Seattle, WA
  • 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

Square’s Data & Intelligence organization is tasked with understanding marketing attribution as well as seller value (LTV/CLV) in order to help us optimize go-to-market efforts. Within the organization, the Measurement Analytics team will collaborate with their Machine Learning modeling counterpart, Measurement Data Science, and stand at the forefront of these efforts. Together, these two teams own the concepts behind attribution and seller value on behalf of the Seller organization, advancing the discipline forward to meet the increasing complexity of our go-to-market and product ecosystems.

As a member of the Measurement Analytics team, you will co-own and represent the concepts of attribution and value for the Seller organization, and will be the first point of contact for these critical metrics. You will work closely with business, finance, and analytics partners from across the company as well as our Data Science and Machine Learning modeling teams.

To accomplish these business critical needs, you will ingest and analyze the predictions produced by our modeling team, then curate this data downstream to internal consumers in the form of data sets, business intelligence products, detailed reports, and actionable recommendations. In parallel, you will partner closely with our modeling team as well as their stakeholders to iterate and improve our attribution and value measurement models to help us develop and maintain a best-in-class suite of ROI measurements.

We want employees to be able to reside where they feel most creative and productive. You will be part of an org that works across pacific, central, and eastern time zone(s).  In this role, you and your direct team will be primarily organized and operating within the pacific standard time zone. This role is open to all people who can be effective partners with this team, including sharing typical working hours.

You will:

  • Act as a first point of contact between business stakeholders and our Machine Learning team, investigating and triaging issues we see in the data

  • Produce a suite of analytics and BI solutions that allow a wide variety of stakeholders to understand attribution and value 

  • Explain the ideas behind attribution and value measurement throughout Square 

  • Work alongside our business, finance, and Machine Learning modeling functions to develop measurement solutions for the future

  • Present to and collaborate with a variety of stakeholders across the company to evangelize, align on, and implement new models and solutions


You have:

  • 3+ years of experience in quantitative analytics, data science, and analytical consulting

  • Nimble with SQL, Looker, Python, and other quantitative analytics languages and tools

  • Familiarity with the domains of marketing attribution, lifetime value modeling, and ROI measurements

  • Strong written and verbal communication skills with the ability to explain technical data to a variety of executives and stakeholders across the company

  • Fluency of data analytics with the ability to independently contribute to technical output 

  • Ability to quickly and deeply understand our product ecosystem, business, marketing strategy, metrics, and models

  • 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, 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, and always assess candidates on an individualized basis.


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.

Privacy Policy