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Ask HN: Which new skills for a data science career?

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Re: Ask HN: Which new skills for a data science career?

#11
I might ask:

(1) Do the people hiring really have an actual real need?

(2) Do these people really know what skills they need or are they asking for all the skills they can think of to have confidence that the people they hire will have enough skills, no matter what the need?

(3) Given a long list of skills, there are nearly no jobs that actually need and will use all those skills. With a long list of skills in a job that uses only a few of them, soon the skills that the person still knows and are proficient with will shrink. Then what happens to the career, that is, to ability to have a chance to get hired from job ads that have a long list of skills?

(4) Don't forget that one reason for job ads with a collection of skills that is long and particular is because the people placing the ad already have a candidate for the job who claims to have those skills and someone is wondering how easy it would be to hire someone else with those skills.

(5) My experience is strongly that nearly no one in business with enough money to hire technical people actually (a) has work that they understand and that needs technical skills and (b) knows what skills are needed.

(6) Really, if they are recruiting for a long list of skills, then likely they are offering at best a version of gig work and not a real job and career.

(7) Learning a long list of skills prior to getting a job seems to mean there is something wrong with the job being applied for.

(8) My strong experience is that any very productive use of any specialized skills will totally torque off and threaten essentially everyone in the management chain all the way, literally, to the BoD.

(9) At Easter dinner this year, I learned a good lesson: There actually are employers who are ready, willing, eager, and able to hire people with just good, basic abilities and some background in some technical area for a job they have where: (a) They actually do have important work to be done and do understand the importance of that work. (b) Want their people to attack the work and learn any necessary material as they go. They don't ask the people they hire to have a long list of skills before they are hired.

(10) I'd suggest doing what have to do to get a basic income now and otherwise start a business. In that business, learn the skills the business needs. Typically for the technical skills, the list might be particular to the business but otherwise is not very long.

Lesson: In the end, in nearly all of the US economy, to have a lot of money to pay people to have good jobs there has to be a business founder who found some important problem to solve, got a good solution, and got a lot of people to pay for that solution. So, BE one of those people.

Re: Ask HN: Which new skills for a data science career?

#12
I'm in a similar place to the OP - I have a PhD in health science with R and Python experience (and a little hobby experience with TensorFlow and some AWS stuff). Is it worth doing kaggle competitions? I've heard mixed things - some people say companies ignore them, others say they're useful evidence on a CV. Thanks!

Re: Ask HN: Which new skills for a data science career?

#13

I'm in a similar place to the OP - I have a PhD in health science with R and Python experience (and a little hobby experience with TensorFlow and some AWS stuff). Is it worth doing kaggle competitions? I've heard mixed things - some people say companies ignore them, others say they're useful evidence on a CV. Thanks!

Do them if you're interested but I don't think they're that useful on a CV. If you win a competition, you'll obviously get some attention but just participating and putting it on your CV doesn't do much.

Re: Ask HN: Which new skills for a data science career?

#14
Basically the more full stack you can be the better. In a perfect world you have have the ability to frame statistical problems, decide on a modelling approach and evaluate it, deliver it not as a notebook but as a Python library, build the data pipelines to integrate it into the business, write all this code as an experienced software engineer would, then be able to visualise or reason about the model outputs with an eye to the wider business. In reality, few people are good at all these things, especially early in their career, but they’re all worthwhile skills to pursue.

In terms of prioritisation, Python and general software engineering skills multiply your ability to deliver stuff but also learn and experiment with new libraries. If all you knew was logistic regression or gradient boosting, but you could deliver a whole pipeline and insights on top of it, you’d be extremely valuable to most businesses. You’re also set to fill those roles in future startups you found yourself, where needed.

It’s true you can also do world class research and never leave Jupyter - that’s valid too, but probably more hit and miss as a career.

Re: Ask HN: Which new skills for a data science career?

#15
post #13

I'm in a similar place to the OP - I have a PhD in health science with R and Python experience (and a little hobby experience with TensorFlow and some AWS stuff). Is it worth doing kaggle competitions? I've heard mixed things - some people say companies ignore them, others say they're useful evidence on a CV. Thanks!

Do them if you're interested but I don't think they're that useful on a CV. If you win a competition, you'll obviously get some attention but just participating and putting it on your CV doesn't do much.

thanks - do you think there's anything obvious I might be missing coming from an academic background in terms of getting attention? I don't know how useful side projects really are, for instance (particularly vs things I've done as part of my research).

Re: Ask HN: Which new skills for a data science career?

#16
Have you considered/are you open to a mgmt role? Not to be derogative to coding, but finding a developer is easier than a stats expert with data science chops. You could be in a leadership/SME role for a small team, and be a value "multiplier". For this, you need to be expert in the tools of your trade .. so R for sure, and possibly Python(+pandas, scikit). Your dev team can handle other parts.

Where you are you based btw? I have a ton of Parallel Computing experience (PhD too). My weakness is on the math/stats side. Happy to give more specific advice. Market is hot right now .. don't delay.

Re: Ask HN: Which new skills for a data science career?

#17
post #2

Do you have a PhD? If you do, it's going to help a lot with the transition. Skills for someone like you to work on - Python, the Python data ecosystem, machine learning, deep learning, being a good software developer. Things not to worry about right now - Kubernetes, DevOps, cloud providers. You don't need JavaScript. Don't learn any Tableau/PowerBI and don't apply for jobs that require them unless you want a more an…

Came here just to weight in for each and every point. This is the best answer so far.

PhD is seem as a magical badge of super power, even if you can get a job without one, consider having it, is a 1.5x-2x salary multiplier.

Re: Ask HN: Which new skills for a data science career?

#19
post #2

Do you have a PhD? If you do, it's going to help a lot with the transition. Skills for someone like you to work on - Python, the Python data ecosystem, machine learning, deep learning, being a good software developer. Things not to worry about right now - Kubernetes, DevOps, cloud providers. You don't need JavaScript. Don't learn any Tableau/PowerBI and don't apply for jobs that require them unless you want a more an…

Seconding this. Take Tableau off of your resume unless you want to be a dashboard monkey (sorry, “BI Developer”). Dashboards != analytics, but lots of companies seem to think they do.

I would suggest looking at the Certified Analytics Professional certification from INFORMS. Operations Research is the original data science, and preparing for and passing the test is a good signal that you understand analytics.

Machine learning is just one tool in the arsenal of providing value using data.

Re: Ask HN: Which new skills for a data science career?

#20
Prioritize getting a job and go all in on the skills that job needs and wants. Consider applying for Amazon Scholars or an equivalent programme.

> The Amazon Scholars program has broadened opportunities for academics to join Amazon in a flexible capacity, in particular part-time arrangements and sabbaticals.

https://www.amazon.science/scholars#:~:text=Amazon%20Scholar....

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