Job Description

The Payments Product team manages Square's flagship product. We are stewards of Square's largest product, making it possible for any seller to easily take a credit card payment. Our product drives awareness of the Square brand, is Square's first touch-point with most of our sellers, and fuels the economics of the broader Square ecosystem. Our sellers have evolving needs and expectations, and it is our job to understand who they are and how we can best help them.

As a member of Payments Product's data science team, you will work with both our product and go-to-market (GTM) teams to help them make data-based decisions while reporting to a Senior Manager on the Data Science team. You and your team will prioritize and set product and GTM road maps. Sound like you? Read on.

You will:

• Partner with Square's product, engineering, design, marketing, and finance teams to make decisions using a diverse set of tactics, including statistics, quantitative reasoning, and machine learning.

• Independently research questions related to our most important product experiences and produce recommendations for peers and leadership.

• Communicate analysis and decisions to peers and leadership in verbal, visual, and written media.

• Build self-service data tools that allow us to monitor the health and performance of our business and key product features.

• Work closely with a product managers, product marketers, designers and engineers to evangelize data best practices and implement analytics solutions

Qualifications

You have:

• Pursuing a degree in Mathematics, Statistics, Computer Science, Economics, or a related quantitative field

• Experience performing data analysis using Python (pandas, scikit-learn, etc.), R and/or SQL

• Experience communicating analysis and decisions to peers and leadership in verbal, visual, and written media

• Experience working embedded within a growth or product team

• Bonus skills (but not necessary): 

  • Experience designing and analyzing A/B experiments
  • Familiarity with ETL development and best practices
  • Experience applying both data-backed heuristics and machine-learning techniques to solve personalization and recommendation problems
  • Experience in the payments or FinTech space

Technologies we use and teach:

• SQL (Snowflake, BigQuery), Airflow, and Looker

• Google Cloud Platform and AWS

• Python and R

• Machine learning and statistical modeling frameworks

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.

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, 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. _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, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

PERKS

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.