Data Scientist
Customer Identity & Access Management
Posted on 8/30/2023

1,001-5,000 employees

Digital payment processor
Company Overview
Square's mission is to ensure that all businesses are able to participate and thrive in the economy. The company is building infrastrucutre for online payments.
Remote in USA • Atlanta, GA, USA
Experience Level
Desired Skills
Data Analysis
Data Science
Data & Analytics
  • 2+ years of industry experience in data science, product analytics, or machine learning-focused roles
  • Proficiency in SQL and Python, as well as working knowledge in the application of statistical and modeling techniques; willingness to learn new technologies on the job
  • Proven track record of adding business value using data
  • A strong Data Engineering background. Ability to ingest and analyze large data sources independently
  • Proficiency in at least one visualization tool (we primarily use Looker)
  • Strong written and verbal communication skills and the ability to build strong relationships and influence product partners
  • Prior experience in account security and management is beneficial, but not required
  • Comfort working in a dynamic work environment
  • Partner primarily with CIAM product, engineering, and design teams to make data-driven decisions using a diverse set of tactics, including statistics, quantitative reasoning, and experimental design. You will also work closely with Risk, Payments, and other cross-functional teams
  • Proactively identify gaps and opportunities in our processes. Design and analyze experiments with the goal of increasing Square's bottom line and ensuring Sellers' accounts are safe
  • Build ETL pipelines, dashboards, and machine learning models that enable monitoring of the health and performance of our core business
  • Be the subject matter expert on CIAM data. Translate requests from internal and external partner teams into questions that can be rigorously answered with data
  • Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written media
  • Evangelize data best practices and be an advocate for a data-driven culture across Square