FAQs
What is the application process for the Data Scientist (Intern) position?
Applications are accepted on an ongoing basis. You can apply, and a Cisco representative may contact you directly if a relevant position opens.
What type of education is required for this internship?
An upcoming graduate or someone currently enrolled in a Bachelor's or Master's degree program in Engineering, Computer Science, Data Science, Statistics, or a related field is preferred.
What technical skills are necessary for the Data Scientist (Intern) role?
Candidates should have experience with data manipulation tools (like SQL, Hadoop), programming languages (such as R, Python, XML, or JavaScript), and statistical packages for data analysis (like Excel, SPSS, or SAS).
Is there a preference for experience with certain databases?
Yes, experience with Oracle databases is desirable.
Are there any specific qualifications that would give a candidate an advantage?
Preferred qualifications include familiarity with advanced machine learning techniques, expertise in analyzing time-series data, and strong presentation and storytelling skills.
What type of data will the intern be working with?
Interns will work with massive structured and unstructured datasets, including transactional and real-time data from various sources.
Do interns need to relocate for this position?
Interns should be able to legally live and work in the country for which they’re applying without visa support or sponsorship.
What is the company culture like at Cisco?
Cisco promotes a culture of diversity, innovation, accountability, and inclusivity, encouraging employees to be themselves and to make a difference in powering an inclusive future.
Are there opportunities for full-time employment after the internship?
The job posting does not state anything specific about full-time opportunities, but performing well in an internship often leads to future job offers, depending on business needs.
What kind of projects might I work on as a Data Scientist intern?
Interns may acquire, clean, and structure data, analyze trends, develop predictive algorithms, and interpret data to provide actionable insights.