Data Science Fall Intern
- Intern
- Current Square Employee?: Apply via go/jobs with your Square email.
Company Description
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. And make it easier for customers to shop and pay at their favorite businesses. 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.
Job Description
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
Qualifications
You have:
Pursuing a MA 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
Even better:
- 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
Additional Information
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.