City College, Fall 2018

Intro to Data Science

Week 14: Life in Data

December 10, 2018

Today's Agenda
  1. A Brief Review of the Course
  2. What to Expect in an Interview
  3. What to Look for in a Data Job
  4. Ethical Considerations in Data
A Brief Course Review
Data Science Models
Resources: Coding
Resources: Handling

Resources: Modeling


Resources: Visualization

What to Expect in an Interview
My Interviews
  1. Recruiter screen
    2.
  2. Semi-technical phone screen
    3.
  3. Coding exercise
    4.
  4. Onsite with the team
    5.
Tips
  1. Know the basics
    2.
  2. Sweat the details
    3.
  3. Be resourceful
    4.
  4. Show your passion
    5.
What to Look for in a Data Job
How good is their data? How much of your time will be spent cleaning it?
Are they looking for a data [scientist/engineer/analyst] or a wizard?
Who is you boss? Is it someone you can learn from?
What kind of technical resources do you have? (Computer, installation rights, cloud resources, visualization software)
How do they handle code?
Do they use the latest and greatest in open source software?
How seriously do they take recruiting?
You can do amazing things with data!

Should you?
Major Ethical Issues in Data
  1. Storage and Handling of Sensitive Information
  2. Bias in Algorithms
  3. Consent to Share Data
  4. Using Technology to Circumvent Law
  5. Bullsh!t
You can do amazing things with data!

You should.