Two-Body Problem Series: Playing the Long Game

By Anonymous

Credit: Tod Strohmayer (GSFC), CXC, NASA
Illustration: Dana Berry (CXC)

This entry in the two-body problem series is an account of one person’s experience navigating the academic track with their partner. For context, the people in the relationship are white, cisgender, and heterosexual. If you would like to contribute your own story to this series, please contact us at wia-blog at lists.aas.org.

When did you and your partner meet?

We met in college. We both knew that we wanted to apply to graduate school and pursue academic careers (he's in engineering and I'm in astronomy).

Nailing the Tech Interview

Advice from Both Sides of the Interview Table

A year ago, I made the transition from astrophysicist to data scientist. One of the harder parts of making the transition was convincing a tech company (during the interview process) that I could do the job. Having now been on both sides of the interview table, I’d like to share some advice to those wishing to break into the tech/data science industry. While this advice is applicable to candidates in general, I’m going to be gearing it towards applicants coming from academia / PhD programs.

Most tech companies are interested in smart, talented people who can learn quickly and have good problem solving skills. We see academics as having these skills. Therefore, if you apply for internships or jobs at tech companies, you will most likely get a response from a recruiter.  The problem is that once you get an interview, there are a lot of industry-specific skills that the company will try to assess, skills that you may or may not have already.

Below are some of the traits we look for when recruiting for the Yammer analytics/data team, descriptions of how we try to determine if a candidate has these traits, and what you should do to ‘nail’ this aspect of the interview.

Astronomer to Data Scientist

I recently made the transition from astrophysics researcher to data scientist for a tech company (Yammer / Microsoft). Below are suggestions for people in academia / research who are interested in pursuing a tech job.

Most tech companies are interested in smart, talented people who can learn quickly and have good problem solving skills. Scientists have these attributes. Therefore if you apply for jobs at tech companies, you'll likely get at least a response from a recruiter. However, once you get an interview, there are many other skills that the company will try to assess, skills that you may or may not have already.

Below are some tips which will help you both in the application / interview process, as well as on the job at a tech company.