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25 Bits and Bytes of Advice for New Data Scientists

In the time since I first learned to code and began exploring data in the 1970s — and while working for organizations ranging from Samsung to the CIA, and from Silicon Valley to Sydney — I’ve had the great honor and privilege of leading some of the most extraordinary teams of Coders, Data Scientists, Business/Intelligence Analysts, and AI Super-Geeks to ever put fingers to keyboards
While I don’t know if I have anything particularly wise to offer, here are some thoughts I would encourage you to keep in mind as you begin one of the most exciting, interesting, and intellectively challenging careers imaginable:
- It’s not the size of your data. It’s what you do with it that counts.
- Passionate, numerate, curious, autodidactic, humble technophiles make the best Data Scientists. If you’ve got those qualities, you’ve got nothing to worry about.
- Have the heart of a hacker. Assume there is always a simpler way to solve the same problem.
- Academic and professional pedigrees may get you in the door. What earns your colleague’s esteem will be your ability to perform.
- This is supposed to be fun. We’re paying you a fortune to spend your day solving cool puzzles and figuring shit out. Don’t be a buzzkill; enjoy the ride — and try to be someone who’s fun to work with.
- Concepts are more important than techniques. Any fool can cut and paste a few lines of code. Focus more on understanding what that technique is achieving.
- Strip the word “I” from your vocabulary. Replace it with “we”.
- Where you learned is not nearly as important as what you learned.
- Remember that the value of mathematics comes from the ability to abstract concepts. Cultivate your ability to identify the essence of the problem you’re working on.
- Be more like Leonard and less like Sheldon.
- Focus on the fundamentals. Most of your peers don’t truly, deeply understand the most basic concepts — like variance and causality. Build a solid foundational knowledge and you’ll be able to take on any new challenge.
- Everyone wants to focus on the sexy stuff — but the analysis is the easiest part. Pay…