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.
As a MLE within the Growth Data Science team, you will lead projects that help with Square’s growth. The team exists to surface the right messages to the right sellers at the right time across all our go-to-market channels (web app, in-app, notifications, sms, email, mail, sales) and product surfaces. We provide sellers with remarkable personalized experiences using machine learning/deep learning to power the best product/feature/content recommendations.
Our algorithms obtain value from our unique, rich, and growing data. We partner with business, product, operations and engineering teams to guide better decisions, automated and human, using machine learning. We’re a passionate team of specialists, statisticians, and optimizers who are resourceful in distilling questions, wrangling data, and driving impactful business decisions.
Lead design and develop scalable systems for improving the core infrastructure required by the Machine Learning applications for our rapidly growing customer base.
Collaborate with data scientists, engineers to train, deploy, and test machine learning models using state-of-the-at techniques.
Help build the next generation of data products at Square
4-5 years of relevant industry experience
A graduate degree in software engineering, computer science, machine learning, artificial intelligence, or a similar technical field.
Experience with cloud computing platforms, such as AWS, Google Cloud or Azure.
Ability to produce scalable and robust production-quality code incorporating testing, evaluation, and monitoring.
Experience in designing and productionizing large-scale distributed systems built around machine learned models and big data.
Knowledge about real time recommendation systems is a plus.
Technologies we use:
Java, Python, Google Cloud Platform, AWS, Snowflake
Python (numpy, pandas, sklearn, xgboost, TensorFlow, etc.)
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.
At Square, we want you to be well and thrive. Our global benefits package includes:
Employee Stock Purchase Program
Paid parental leave
Flexible time off
Learning and Development resources
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