The Alt-Ac Job Beat Newsletter Post 4 11/21/2023
This weeks newsletter advice is apply, apply, apply. So some people give advice in terms of altering your resume and cover letter to help land you a better job. I honestly don't know if tinkering with your cover letter matters all that much in increasing your chances of getting an interview. I do however know that applying to more jobs does increase your chances of getting an interview.
Because I am a mathy guy you will get some math -- so consider two scenarios:
- Scenario 1, apply to 2 jobs a day, don't tinker with materials, takes 30 minutes each, probability 1% of getting an interview
- Scenario 2, apply to 2 jobs a week, take 3.5 hours to tinker with materials, have 3% probability of getting an interview
So same amount of time spent applying, an hour a day. After 84 days (not quite 3 months):
- Expected # of interviews scenario 1:
0.01*2*84 = 1.7
- Expected # of interviews scenario 2:
0.03*2*12 = 0.7
Scenario 2 only makes sense if you know tinkering with materials increases your probability of being interviewed greater than the probability of applying to more jobs. I think applying to more jobs is the better strategy.
This week I have included many different civil service roles (jobs sheet), examples include:
- IRS Data Scientist (Remote!), 100 to 180k
- San Fran PD, Data Policy Analyst, 110k to 140k
- DC Data Governance Analyst, 110k to 140k
Anymore professor salaries have lagged, so it is not uncommon for even entry level civil service roles, like crime analysts, to have better starting salaries than assistant professor positions at R2 schools
Joel Hunt is a Senior Computer Scientist at the NIJ. Phd at American with a background in crime analysis and GIS. Check out the spreadsheet for other job openings currently at NIJ.
So sometimes in scripts you will see startup commands that change the directory, so in python something like:
import os os.chdir("C:\GoogleDrive\Project")
Or in R:
This is bad practice, as it makes your code not portable to someone elses system. Most software engineering assumes you are running code from the root directory of a project. In python, from the command prompt if you do:
cd "C:\GoogleDrive\Project" python
To do the REPL, or run a script, or do
jupyter notebook, that is a better solution. Now the code is implicitly running from the same location as you explicitly stated prior.
I am old school R, so I do the same for R using
RTerm to do a REPL session at the terminal, but I know more popular IDE's like RStudio do this for you under the hood I believe.
Best, Andy Wheeler