Data Scientist, International Payments
- New York, NY, United States
- Employees can work remotely
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.
The Payments Product team manages Square's flagship product, making it possible for any seller to easily take a credit card payment. Our product is Square's first touch-point with most of our sellers, drives awareness of the Square brand, 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.
Payments Product's International Team will launch and grow our payments business in all international markets. We are focused on customizing and localizing our payments offering to tailor the needs and customs of each market. You will work with both our product and go-to-market (GTM) teams to help them make data-based decisions, while reporting into 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.
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.
Design, run, and analyze experiments with the goal of optimizing acquisition, activation, and retention measurements
Build self-service data tools that allow us to monitor the health and performance of our primary business.
Demonstrate data best practices and be an advocate for a data-driven culture across Square.
A degree in Mathematics, Statistics, Computer Science, Economics, or a related quantitative field
3+ years industry experience in data science roles (with either a growth or product focus)
Experience designing and analyzing A/B experiments
Familiarity with ETL development and best practices
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] Experience applying both data-backed heuristics and machine-learning techniques to solve personalization and recommendation problems
[Bonus] Experience in the payments or FinTech space
Technologies we use and teach:
SQL (Snowflake, BigQuery), Airflow, Looker
Google Cloud Platform, AWS
Machine learning and statistical modeling frameworks
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.