Data Science Intern, Risk
- 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.
For this 12 week summer internship, you will:
Partner with Squares product teams to prioritize and answer the most important questions where analytics will have material impact
Use your experience in analytics tools and scientific rigor to produce actionable insights
Build machine learning solutions to solve important business problems
Work with Data Scientists and Engineers to deploy solutions to a production environment
Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models
Communicate key results to senior management in verbal, visual, and written media
Pursuing a MS or PhD in Statistics, Computer Science, Physics, Economics, or related technical field
Hands on experience in executing data analysis and using Python, SQL, Hive, R
Familiarity with Machine Learning (e.g. regression, classification, ensemble methods, etc.)
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 relational databases such as Postgres, Snowflake Previous industry experience or internships in product related analytics Independent research experience
Technologies we use and teach:
Python (numpy, pandas, sklearn), Snowflake, 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 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.