Data Science

Data scientists pose questions, collect data from multiples sources, develop models, analyze the findings, identify patterns and potential solutions to challenges. Data scientists work in many fields, including retail, agriculture, healthcare and transportation.

It’s important for data scientists to have strong statistics, programming and math skills. A typical differentiator between a data scientist and someone working in data analytics is a strong grasp on programming, modeling and unstructured data sets. 

Princeton resources
Examples of job titles and roles
  • Data scientist
  • Lead/principal data scientist
  • Applications engineer
  • Data engineer
  • Business intelligence developer
  • Statistician
Professional organizations and associations

Professional organizations and associations are membership-based groups comprised of people working in a similar field. They can be helpful resources for students to learn more about a field, develop connections and discover related opportunities. You can search for related organizations and associations using a database provided by the Princeton University Library.

More Information