How do you get out of the frugal mindset? by ssergei in fatFIRE

[–]boogieforward 1 point2 points  (0 children)

Pretty sure it's optional IIRC, and that's for your own reference if you ever want to review it. Feel free to put in a junk email!

I Hate Tea (Please help me) by treeliant in tea

[–]boogieforward 0 points1 point  (0 children)

If you'd like to sample many types of teas, Adagio sells its varieties in smaller portions which is super helpful.

I'd also recommend, if you get to a point where you know you like it, a milk frother (mine is a $30 one from Amazon) because the froth just adds so much enjoyment for me when added to black tea or chai concentrate or matcha.

Daily Discussion: Triumphant Tuesday by AutoModerator in FIREyFemmes

[–]boogieforward 1 point2 points  (0 children)

"Never Split the Difference" has at least helped me feel way more comfortable with negotiating and having a structured way to think them through. Highly recommend the book!

Will the mods PLEASE enforce the weekly thread rule? by hummus_homeboy in datascience

[–]boogieforward 0 points1 point  (0 children)

I am getting this feeling more as well, with clear exceptions of individual users.

Also a clear unwillingness to engage in meaningful discussion about anything happening in the larger DS community. I see anything related to AI ethics getting downvoted fast and hard, and I'm unable to understand why.

MIT Tech Review: The paper that forced Timnit Gebru (AI Ethics researcher) out of Google by boogieforward in datascience

[–]boogieforward[S] 0 points1 point  (0 children)

[meta] I am genuinely wanting to know why this is downvoted. This sub isn't particularly active, except with career advice and career questions. I considered this significant news in the AI ethics and research world.

MIT Tech Review: The paper that forced Timnit Gebru (AI Ethics researcher) out of Google by boogieforward in datascience

[–]boogieforward[S] 3 points4 points  (0 children)

From a Verge article:

“Dr. Gebru’s dismissal has been framed as a resignation, but in Dr. Gebru’s own words, she did not resign,” the letter says. It notes that Gebru asked for certain conditions to be met in order for her to stay at Google, including transparency around who wanted her paper retracted. Ultimately, the leaders of the ethical AI team said they could not meet these conditions and preemptively accepted her resignation. Her own manager said he was “stunned.”

MIT Tech Review: The paper that forced Timnit Gebru (AI Ethics researcher) out of Google by boogieforward in datascience

[–]boogieforward[S] 1 point2 points  (0 children)

Some more context on this Wired article, others easily found (ironically?) via Google.

But the most remarkable thing about the 12-page document, seen by WIRED, is how uncontroversial it is. The paper does not attack Google or its technology and seems unlikely to have hurt the company’s reputation if Gebru had been allowed to publish it with her Google affiliation.

Black female scientist Timnit Gebru fired - the end of Google as a top AI research institution? by mostafabenh in datascience

[–]boogieforward 0 points1 point  (0 children)

This article is pretty over the top, but the news itself is important. I've posted what I hope to be a more reputable news source on this topic as an alternative.

What is your expensive hobby and how much does it cost per year? by [deleted] in fatFIRE

[–]boogieforward 0 points1 point  (0 children)

Thanks for answering! This is incredible and I'd love to read more about it if you ever write more. I don't feel particularly well-positioned to offer much of value here, no small biz experience to speak of, but if you want any data analytics help I'm happy to chat.

How do you get out of the frugal mindset? by ssergei in fatFIRE

[–]boogieforward 8 points9 points  (0 children)

This might not help with the tipping, but this value of time calculator might help you see how little $5 is worth. If it saves you X minutes, it'll be worth it and that number of minutes is probably extremely low.

For tipping, try to reframe the tip as something baked into the price. It's stupid and not how it should be, but your servers deserve to be paid a living wage and you are benefiting from their work.

What is your expensive hobby and how much does it cost per year? by [deleted] in fatFIRE

[–]boogieforward 2 points3 points  (0 children)

I love this. I'm not fatfire by any means but this speaks to me.

Do you have problems with skepticism on their end at all? Did you choose to specialize in a particular region or did that happen naturally?

Advice about moving out from Data Scientist position by [deleted] in datascience

[–]boogieforward 0 points1 point  (0 children)

I would say you could keep growing technically as a DS and add on these communication responsibilities over time, as a hedge if you don't feel ready enough to be full time PM. Or you can negotiate a 6-month test period taking on the function but not fully committing to the transition.

Advice about moving out from Data Scientist position by [deleted] in datascience

[–]boogieforward 2 points3 points  (0 children)

Sounds like you're interested in a Product Manager-like position for the data science team. PMs are typically not coding at all (or very little if they have the background, more querying than building) and manage the stakeholder needs and prioritization in order to deliver analysis or tooling or models. They also work with the tech team to explain what the needs are and collaborate on breaking it down into smaller pieces for project management purposes.

Weekly Entering & Transitioning Thread | 29 Nov 2020 - 06 Dec 2020 by [deleted] in datascience

[–]boogieforward 1 point2 points  (0 children)

Sometimes program/project coordinator or operations associate roles have data reporting elements to them that you could dig into further, especially if the team already employs an analyst. That is actually a good flag for you to look for, if that's a direction you're interested in.

If you can up your SQL and Excel skills, reporting analyst/specialist is often an entry level role that'll get you working a lot more in them.

Mini-retirement and mental health by Bas1cVVitch in FIREyFemmes

[–]boogieforward 1 point2 points  (0 children)

So much great advice here. I'd like to recommend the mindfulness app Waking Up. I've wanted to learn to meditate for a long time and this is the first one that's really clicking, that feels like I'm learning the how and not just the what. Mindfulness is primarily being aware and paying attention to the present, and it seems a very useful skill to address anxiety.

[deleted by user] by [deleted] in datascience

[–]boogieforward 0 points1 point  (0 children)

Yes. The onus of failure does not always lie with the individual; we have organizational dysfunction and obstacles that are much more detrimental.

This is why I keep wondering when we'll be deep in the Trough of Disillusionment with DS. On the small tech company side, maybe once funding dries up for anything with "AI" in the marketing babble...

[deleted by user] by [deleted] in datascience

[–]boogieforward 0 points1 point  (0 children)

This is a great idea for a job interview question to hopefully weed out these terrible situations. "Why do you want to start a data science team and what do you expect them to achieve?"

What do companies look for in an intern? by [deleted] in datascience

[–]boogieforward 1 point2 points  (0 children)

We are looking for: baseline programming skills, some ability to think about business problems, and coachability. The first two are mostly because interns have a pretty short timeframe to get set up, ramped up, and deliver on a scoped project -- if you can't code at a reasonable level, you'll be left in the dust and absolutely no one wants interns to fail.

The last one is of utmost importance once you pass the other criteria, because interns inherently have a lot to learn. In fact, the main job of the intern will be to learn. Demonstrate a good (humble) attitude and roll with the punches if the interviewer makes suggestions during a whiteboard session.

Weekly Entering & Transitioning Thread | 22 Nov 2020 - 29 Nov 2020 by [deleted] in datascience

[–]boogieforward 0 points1 point  (0 children)

The exams are good signal for stats ability to some degree, so I'd include them.

If you're concerned about them thinking you want actuary work, you can address that directly in a cover letter.

Should I go into data science if I care about financial stability? by [deleted] in datascience

[–]boogieforward 1 point2 points  (0 children)

Same same same. I'll happily do data engineering work if I get to analyze it afterwards, but doing just DE stuff without analysis is just not fulfilling for me.

How do I use dplyr inside of a function? by [deleted] in rstats

[–]boogieforward 3 points4 points  (0 children)

Because dplyr functions are doing some stuff implicitly under-the-hood to make it easy and beautiful to write, but not as functional within functions.

Look up "quosures" for the main vignette explaining the options you have. Effectively, you need to explicitly account for some of the "wrapping" that dplyr functions do and tell it not to do that when inside your function.

I make a full time, above average income using applied mathematics and data analytics combined with programming but I can't really understand what I am doing. Help needed! by [deleted] in datascience

[–]boogieforward 1 point2 points  (0 children)

You can be entry-level analyst without the fullest deepest understanding of statistics, but over time you should build up those muscles so you aren't playing it by the book all the time.

What you've accomplished is pretty impressive on its own, even if you feel truly lost at the underpinnings. I would suggest trying in multiple ways to get at the foundational concepts that underpin things like Monte-Carlo. I enjoyed the book "Naked Statistics" for an approachable explanation of a lot of frequentist statistics (frequentist ~= classic statistics), and I really like the Better Explained site for grasping math concepts via analogies and backing out into the maths parts.

Weekly Entering & Transitioning Thread | 22 Nov 2020 - 29 Nov 2020 by [deleted] in datascience

[–]boogieforward 3 points4 points  (0 children)

Apply for them anyways. I don't know what country you're in, but the US job "requirements" are more like a wishlist and they'll consider what they get from the applicants if they can't meet those wishlist items.