Alumni from NYC Data Science Academy, offers career advice for entry level data science professionals seeking to make a big impact in this industry.

1. Keep a clear mind in
job hunting
By Roger Ren
during a pandemic….

2. About me
- Research Scientist @ Amazon Alexa
- Work focus on ASR and NLP
- Active involvement in recruiting and
interviewing
- Career and interview coaching
- More importantly:
- Career switching
- Long and slow grind in job hunting
- Interviewed a broad range of companies
- (Lost hope many times.)

3. Machine Learning in Job
Hunting
- Define your problem
- Understand your goal
- Gather training data
- Build models
- Train and test
- Repeat

4. Company Scale Matters
- Fields:
- Tech
- Finance
- Business
- Research
- Scale:
- Small
- Middle
- Big

5. Work-flow and Timing
- Small: phone + onsite (1-3)
- Middle: R + HR + OA + Phone+ Onsite + Results (3-4)
- Big: R + HR + OA + Phone*2 + Onsite + HC + TM (6-9)
- Spring(2-5)
- Fall(7-10)
- Experienced hire no limit (higher bar)

6. Key Idea
- FN: OK
- FP: Absolutely NO
- Overfitting?
- Voting mechanism

7. Resume
- What is the purpose of a resume?
- How should I work on it?
- Key phrases method
- Iteration!

8. Getting an offer
- P(offer) = P(Luck) * P(A) * P(B) * P(C)....
- Veto items:
- Science breadth/depth
- Coding
- Some wiggle room:
- Business credibility, especially for new grad
- BQ
- Fundamental
- Coachable
- Likeability
- Legal

9. Keep those in mind
- Work hard
- Personal concentration
- Learn quickly

10. Keep those in mind
- Work hard
- Personal concentration
- Learn quickly

11. Keep those in mind
- Work Smart (Be economy)
- Cooperative Coding/ML
- Unlearn quickly

12. Take care of yourself
Keep Calm & Carry On