Data Scientist, Intern
- San Francisco, CA, USA
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.
For this 12 week summer internship, you will:
- Partner with Square’s product teams to prioritize and answer the most important questions where analytics will have material impact
- Work on Square’s Central Data team with Data Scientists and Product Analysts
- Use your experience in analytics tools and scientific rigor to produce actionable insights
- Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models
- Build visualizations that expose the health and performance of our products
- Communicate key results to senior management in verbal, visual, and written media.
Pursuing a MS (or PhD) in Economics, Statistics, Computer Science, Mathematics, or related technical field
Hands on experience in executing data analysis and using SQL, Hive, R, Python, and experience in ML
Ability to understand complex business and data systems
Ability to clearly communicate complex results to technical and non-technical audiences Versatility and willingness to learn new technologies on the job
Programming experience in one or more object-oriented languages, including: Python, C, C++, Java, Ruby, Scala, and Go.
Familiarity with Linux/OS X command line, version control software (git), and general software development
Experience in programming or scripting to enable ETL development Familiarity with Machine Learning (e.g. regression, ensemble methods, etc.)
Familiarity with relational databases such as Postgres, Vertica Previous industry experience or internships in product related analytics Independent research experience
Technologies we use and teach:
Python (numpy, pandas, sklearn) Vertica, Hive Statistics (Bayesian methods, experimental design, causal inference) Tableau
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. 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.