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 the Data Science Lead for Growth Machine Learning, you will lead efforts to optimize Square's automated communications engine across the customer lifecycle using machine learning and statistical modeling. Working with partner teams across the organization, you will lead a team of data scientists to deliver production-ready models that drive real business impact for the company.

Square's Automated Communications team is a cross-discipline group that spans engineering, analytics, operations and data science. Together, we are building a platform to deliver the right message, to the right seller, at the right time. This is a high impact group that helps drive revenue at scale while protecting our sellers' trust and faith in our brand.

You will:

• Lead, coach and develop a group of data scientists and engineers to build intelligence into our marketing and seller growth initiatives

• Provide hands-on support and consultation on a diverse set of techniques including machine / deep learning, causal inference, and statistical modeling

• Establish key metrics and monitoring for production models and performance over time

• Coordinate with engineering and business leads to produce a data science roadmap that yields material impact to the company

• Use your expertise and industry developments to raise the bar and maintain methodological rigor

• Develop an inclusive, learning-focused environment

You have:

• 7+ years of experience in a machine learning-focused data science role or similar, with at least 2+ years of technical management experience

• Advanced degree in a quantitative discipline (Applied Mathematics, Statistics, Computer Science, Economics) or equivalent experience

• Ability to read code and guide the work of data scientists using Python and/or Java code bases

• Excellent communication skills and demonstrated experience working with executives

At Square, our purpose is to empower – within and outside of our walls. In order to build the best tools for the businesses and customers we support all over the world, we have to start at home with a workforce as diverse and empowered as our sellers. To this end, we take great care to evaluate all employees and job applicants equally, based on merit, competence, and qualifications. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage candidates from all backgrounds to apply and always consider qualified applicants with arrest and conviction records, in accordance with 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.