Data Scientist, Trusted Identity
- San Francisco, CA, USA
- Current Square Employee?: Apply via go/jobs
We believe everyone should be able to participate and thrive in the economy. So we’re building tools that make commerce easier and more accessible to all. We started with a little white credit card reader but haven’t stopped there. Our new reader helps our sellers accept chip cards and NFC payments, and our Cash app lets people pay each other back instantly. We’re empowering the independent electrician to send invoices, setting up the favorite food truck with a delivery option, helping the ice cream shop pay its employees, and giving the burgeoning coffee chain capital for a second, third, and fourth location. Let’s shorten the distance between having an idea and making a living from it. We’re here to help sellers of all sizes start, run, and grow their business—and helping them grow their business is good business for everyone.
As a Data Scientist within the Trusted Identity team at Square, you will lead projects that derive value from our unique, rich, and rapidly growing data. Specifically, you will lead the development of algorithms to help us understand who our sellers are and whether they are using Square’s services within the law.
Square’s mission is to make commerce more accessible to all. Trusted Identity’s mission is to build a data-driven approach to quantifying trust in our sellers. This approach gives Square the ability to accept as broad a group of sellers as possible onto our platform, including sellers that other payments processors may not accept, such as the underbanked, or sellers running nontraditional businesses. Trusted Identity sits at the top of the seller funnel, meaning that our work’s impact percolates through every element of the Square ecosystem. We use our concept of quantified trust to support offering Square to as many sellers as possible while also keeping Square safe from financial crimes, such as money laundering. You will lead the development of data solutions that ensure that Trusted Identity can continue to fulfill its mission efficiently and effectively as Square continues to scale.
Drive cross-functional analytics projects from beginning to end: build relationships with partner teams, frame and structure questions, collect and analyze data, as well as summarize and present key insights in support of decision making
Partner with Square’s Compliance team to identify, prioritize, and solve complex problems where analytics and data science will have a significant impact - with a focus on aiding in Square’s compliance with the US Bank Secrecy Act and Anti-Money Laundering laws
Work with engineers to evangelize data best practices and implement analytics solutions
Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models
Use your experience in analytics tools and scientific rigor to produce actionable insights
Use machine learning to optimize our ability to address Trusted Identity, Compliance, and general operational concerns
Communicate key results to senior management in verbal, visual, and written media
Help build the next generation of data products at Square
An advanced degree (M.S., PhD.), preferably in Statistics, Computer Science, Physical Sciences, Economics, or a related technical field
A strong track record of performing data analysis using Python (numpy, pandas, scikit-learn, etc.) and SQL
Familiarity with Linux/OS X command line, version control software (git), and general software development
Experience using statistics and machine learning to solve complex business problems
Experience developing and deploying machine learning / deep learning solutions in production
The versatility and willingness to learn new technologies on the job
The ability to clearly communicate complex results to technical and non-technical audiences
1-2+ years industry experience in data science or machine learning-focused roles
Technologies we use and teach:
Python (numpy, pandas, sklearn) & R
Machine Learning (e.g. regression, ensemble methods, neural networks, etc.)
Statistics (Bayesian methods, experimental design, causal inference)
Google Cloud Platform
At Square, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.