Marketing Analytics Intern, Kohl’s
Statistics and Computer Science
“I think my internship pointed out a potential industry I would enjoy.”
I saw the internship openings online and applied. Later, I got an online video interview and after that, an on-site interview. Two of my interviewers were in the team that I was really interested in, so we had a great conversation. Several days after my interview, I got the offer.
There are two essential aspects of this internship that contributed to my career goals, as my career goal is becoming a data scientist. First, this was an internship where I got to work on modeling with data science professionals. In the past, I have done online tutorials, data competitions, and small data project for other internships. However, I did not receive mentorship from people who have strong technical knowledge. At my internship, I am able to research deeper into the mathematical origin models with my mentor's help and work through the whole process of establishing a machine learning model. It re-affirms that I am passionate about this kind of work.
Second, the industry and field my data science role resides in is interesting: retail and marketing. I have not worked in the retail industry and this new experience tells me that it's a very fun and complex environment to work in. What I do can touch so many individual customers. Thus, I think my internship pointed out a potential industry I would enjoy.
Tips for Success
- Don't be afraid to talk to as many professionals as you can to find out about what they do and the place they work at.
- Be proactive and take control of your project.
Core Career Competencies Developed
- Analytical and Critical Thinking
- Career Management