Data Scientist, Measurement

  • Full-time

Company Description

Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment 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, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And 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 all in one place.

Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.

There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.

Job Description

Square’s Decision Science 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 Square, the Measurement Analytics & Data Science team will collaborate with their Machine Learning modeling counterpart, Measurement ML, and stand at the forefront of these efforts. Together, these two teams own the concepts behind attribution and Seller value on behalf of Square, advancing the discipline forward to meet the increasing complexity of our go-to-market and product ecosystems.

As a member of the Measurement Analytics & Data Science team, you will co-own and represent the concepts of attribution and value for Square, 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:

  • 5+ 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. Block 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. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page

Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.


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

Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

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