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Out of Academia

Ken's Story

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TL;DR

Now you have to talk to regular people, aka, people

  • without any interest in your research;�
  • without the most basic ability to understand anything in your field.

….goodluck

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The Path I took

1 Year Gap : Graduation

½ Year Gap : Laid Off

2 Week Gap : Found New Job

2 Month Off : Salary

time

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Plenty of Jobs You Can Take

Communication Heavy

Technical Skills Heavy

Content Creator

Writer

Programmer (Hardcore)

  • Trading?�- institutional + personal
  • Data Science

Strategy

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A Lot of Them Requires Communication Skills

More About "Communicating"

  • that you possess the skills � v.s. actually having them, actually using them
  • the value you bring.

Less About having skills

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Data Science

Machine Learning

  • Building applications
  • Innovating
  • Making things work
  • OpenAI vs Everyone ?

Analytics

  • Experimentation
  • Product Knowledge
  • Quick and Dirty Estimations
  • Strategy & Operations
  • Where does data come in?

Me : Marketing DS

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DS Success Depends on Size/Organization

Core DS Job

Analytics

Strategy

Data Cleaning

Building Data Pipeline

Training others to understand math

Basic Capability to Run Data Operations

Data Scientist

  • New tech position �
  • HEAVY Infracture dependence�
  • Ask questions about the company working style.
    • learn the hidden keywords
    • determines your QoL
    • Tech vs Bank vs Healthcare�
  • Ask about their tech stack.
    • your work QoL

critical, but not always available

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Intermission

Questions? Comments?

What are you interested in ?

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Finding My Way There : 1 Year

⇒ Develop that 1 Skill you're not actively using in your PhD,�

⇒ Translating PhD Knowledge into Trade Skills

  • i did not know what is A/B Testing.

⇒ Explaining that to Non Technical People

  • using terms they understand

⇒ Explaining that to "OTHER" Technical People

  • learn how they deal with the same problem in another field

⇒ Knowing What people are looking for

  • so give it to them

Case Study :

Econ: always looking for unbiased estimators

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Standard vs Special

Being Special :

a portfolio of related work

OR people who knows your work

OR you're known for that thing

aka. 'proven' skills + niche knowledge

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B School Peeps

  • They were taught baby models�
  • They only remember the results

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Learn how to make slides

  • be strategic.
  • ask yourself:

what is the goal?

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Case Study : When being asked, think this:

(Made Up) Imagine you're in a mobile game company, which people can spend money onto digital goods the company create. You are to A/B test some new features, to see if it can push users would spending a lot of time onto.

What the problem truly about ?

  • Technical
  • Strategic
  • Political

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The END

what happens "after the end"?