Thread by @thomas_mock

@KTorresStats Hi Katy!

The resume looks good to me!

I'm starting a thread with some ideas.

Goal 1: Connect with #rstats data science community
- Tons of academic and industry here on Twitter
- do informational interviews with acquaintances
- join @RLadiesGlobal Slack @R4DScommunity

@KTorresStats @RLadiesGlobal @R4DScommunity Goal here is to meet someone who can get your name to a hiring manager
- referrals == stronger chance of interview/hire
- R4DS and #rladies Slack are places outside Twitter to find job posts, ask questions, network
- Info interviews help you understand what pro DS do/expect

@KTorresStats @RLadiesGlobal @R4DScommunity Goal #2: read livebook.manning.com/book/build-you…

By @robinson_es and @skyetetra

Tons of good ideas and biggest additional step IMO == get a public portfolio

Essentially show the industry that you can do the job already!

@KTorresStats @RLadiesGlobal @R4DScommunity @robinson_es @skyetetra Portfolio building:
- Share documented code/projects on GitHub
- can use #TidyTuesday for data if you can't share existing work
- Think about the kinds of work you want to do/know and display that
- Ideally mix in business problems if looking to move out of traditional science

@KTorresStats @RLadiesGlobal @R4DScommunity @robinson_es @skyetetra Think about the type of job focus you want:
- Model building
- Data cleaning and data mining
- Reports or App building (Shiny, Tableau, RMarkdown, etc)
- Presentation/communication

Realize that there will always be overlap but make sure to highlight your existing knowledge!

@KTorresStats @RLadiesGlobal @R4DScommunity @robinson_es @skyetetra Goal 3: Stay Strong and let your knowledge shine through in interviews
- Interviewing can be tough
- Gonna be some rejections
- stick with it!!

@joyceisms had some coding interview tips

https://twitter.com/WeAreRLadies/status/1206558344254775296?s=20

Another good resource on interviews
https://t.co/U4RHgKEDZQ livebook.manning.com/build-your-car…

@KTorresStats @RLadiesGlobal @R4DScommunity @robinson_es @skyetetra @joyceisms Again - portfolio helps here as you can speak to:
- real things you've tried
- new packages you learned
- approaches and mindset you had
- give them indicators you can do the job!
- if you're looking to ⬆️ ML knowledge @kierisi is starting a series

https://t.co/Z4HNmVxtrp

https://mobile.twitter.com/apreshill/status/1209184100206071808

@KTorresStats @RLadiesGlobal @R4DScommunity @robinson_es @skyetetra @joyceisms @kierisi Make sure to be able to speak to WHY/WHEN to use certain stat or ML techniques.

Overall, I think you already have a lot of the skills hiring managers are looking for!

Try and increase familiarity with SQL as that will be a big part of entry-level jobs in data sci and long-term!

@KTorresStats @RLadiesGlobal @R4DScommunity @robinson_es @skyetetra @joyceisms @kierisi End I think...

I retweeted for reach on your top question.

Please realize that all of our advice is rife with survivorship bias, small sample sizes, and your journey is your own!

Stick with it, aggregate advice, and good luck!!