The unspoken career skills
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The talk was given on 8/4/2018 at ITRI USA, invited by Chi-Yi Kuan, the chair of the data science meet-up: https://www.facebook.com/groups/datasciencemeetup/ In this talk, we explore the following three questions: (1) How to get an interview? (2) How to select a good career? (3) How to advance your career? Note: (1) the context I shared in the deck does not reflect or imply Intuit's standing or opinion. Anything mentioned in this deck is my personal belief or hypothesis. (2) I have slightly revised the slide based on the audience's feedback. Please refer to my LinkedIn page for more presentations and articles : https://linkedin.com/in/chucheng
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The unspoken career skills
- 1. Tips for the early career professionals Chu-Cheng Hsieh http://linkedin.com/in/chucheng 1Data Science Meet-up at ITRI 08/04/2018 Rev. 2
- 2. #1 How to get an interview? 2
- 3. 3
- 6. Four type of "data scientists" SQL SAS BI Statistics-ish* R/PYTHON WEKA/Matlab PhD Math-ish* Java/Scala Spark/hadoop BigData/AWS ETL/pipelines CS-ish* LSTM / GAN PyTorch TensorFlow Programming CS/SE-ish* Analyst Research MLE Problem Solving + Communication + People Skills Deep learning Clustering, classification, regression, decision trees, neural nets, SVM 6
- 7. Four type of "data scientists" Image LIDAR data Auto-driving Uber/Tesla Lucene/Solr Rec-sys SearchEngine Amzn/e-com NLU / NLG Speech CUI/TextMining Echo/Siri/CUI Time Series Anomaly Dete Security Paypal/Security Computer Vision Information Retrieval NLP/NLU Fraud & Risk 7
- 8. 8 0~10 Looking for the brave 10~30 Looking for the generalists 30~100 Looking for the tech leads (Staff/Principal) or managers 100~200 Looking for the experience hires / specialists 200+ Looking for the backfills or hire for new strategy expansion
- 9. 9
- 10. #2 How to select a career 10
- 11. 11
- 12. Join a good team and follow a champion 12
- 13. 13
- 14. Find a role/team that allow you to practice specific skills Specific skills are skills that you cannot be trained for. If society can train you, it can train someone else, and replace you.14
- 15. 15
- 16. #3 How to advance your career? (Ask yourself three questions) 16
- 17. How can I add value to the team? 17
- 18. How can I pursue extra responsibility? 18
- 19. How can I influence without authority? 19
- 20. 20 Value
- 21. http://linkedin.com/in/chucheng (My top 2) recommended readings: 21
- 22. 22
Notas do Editor
- This deck has been revised based on the audience’s feedbacks
- Make yourself unique
- Put extra effort to earn something difficult is always a good investment
- The number are make-uped.
- Many startup these days also want to hire data scientists. It is also a possibility to kick-off your data science career.
- Follow a good leader who cares
- Learn specific skills
- 這就是工作經驗
- Be ambidexterous: go broad and go deep
- "I learn fast" is not a value.
- Responsibility =/= Work
- Get job done without escalation, manage up and lead your peers