Data Scientist - Seller Modeling
- San Francisco, CA
We believe the economy is better when everyone has access. When everyone has room to grow. No one should be left out because the cost is too great or the technology too complex. We started with a little white credit card reader but haven’t stopped there. 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. 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.
The Seller Modeling and Understanding team at Square utilizes our unique, rich, and rapidly growing data to build various estimations about our sellers. We partner with business, product, and operations teams to drive better decisions, automated and human, using sophisticated modeling and machine learning. Were a passionate team of hackers, statisticians, and optimizers who are resourceful in distilling questions, wrangling data, and driving decisions.
Partner with Square"s business teams to identify, prioritize, and build the most important data science projects
Drive cross functional data science projects from beginning to end: build relationships with partner teams, frame and structure questions, collect and analyze data, build out data science pipelines and models, as well as summarize and present key insights in support of decision making
Work with engineers to coordinate supporting data and product infrastructure
Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models
Leverage your experience in analytics tools and scientific rigor to produce actionable insights
Communicate key results to senior management in verbal, visual, and written media
2+ years industry experience in data-science or analytics
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
The versatility and willingness to learn new technologies on the job
The ability to clearly communicate complex results to technical and non-technical audiences
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.