Machine Learning Modeler, Payment Platform

Full-time

Alternate Location: New York, United States

Company Description

Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.

Job Description

The Payment Platform is an open, global financial services platform for developers who serve sellers. It provides the necessary components to manage identity, process payments across multiple channels, hold and transfer funds, and provide accounting, reconciliation, and reporting in a secure and compliant way.

We process billions of dollars worth of transactions every year. At that scale, even small optimizations can result in major impact. The Payment Platform Data Science team is led by Wafa (whom you will report to). As a Machine Learning Modeler on Payment Platform, you will partner with software engineers and data scientists to integrate machine learning into our payment processing. Current work includes building models to improve pricing, predict transaction costs, improve payment routing, and reduce decline rates.

You Will:

Train, test, and deploy machine learning models with high impact in collaboration with software engineers and data scientists
Research and understand the needs of partner teams, frame and structure questions, collect and analyze data, prototype, and build production-ready machine learning pipelines
Uncover new opportunities for using machine learning to improve payments by performing independent research and building relationships with partner teams
Promote good modeling and coding practices. Use new ML tooling to track model rollout and performance
Identify gaps and opportunities in our processes.
Evaluate ML and cloud-based platforms and services

Qualifications

2+ years industry experience in a machine-learning-focused role
A graduate degree in a technical discipline
Experience with applying machine learning techniques to solve practical product problems with clear impact
Guide impactful cross-team projects that depend on the contributions of others in multiple disciplines
An interest in enhancing the machine learning discipline on payments by exploring and implementing novel ML tooling and technologies
Interest in changing the payments landscape in the US and globally

Technologies we use and teach:

Python, SQL
Machine Learning, Statistics
Google Cloud Platform: BigQuery, Dataflow, and Composer
git
Airflow
Looker
Snowflake

Additional Information

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. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)squareup.com. We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible.

Perks

At Square, 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

Square, Inc. (NYSE: SQ) builds tools to empower businesses and individuals to participate in the economy. Sellers use Square to reach buyers online and in person, manage their business, and access financing. Individuals use Cash App to spend, send, store, and invest money. And TIDAL is a global music and entertainment platform that expands Square's purpose of economic empowerment to artists. Square, Inc. has offices in the United States, Canada, Japan, Australia, Ireland, Spain, Norway, and the UK.