Data Scientist Vlog | vancouver work trip, 9-5 routine, post grad life
102 segments
[Music]
That was good. That was really good. I
have no meeting day, which means it's
the best day of all time.
[Music]
[Music]
So, I'm literally in Vancouver right
now, which is so crazy. It's also my
first time in Vancouver or like Canada
in general. And also, this is my first
work trip. It's just mainly to get to
know the team because my team that I'm
supporting is currently based in
Vancouver. So, here's the bed and the
desk and a little reading nook area. And
then here's the bathroom with the
bathtub and the shower. And look,
there's a literal Dyson. Like, I've
never seen that in a hotel before.
[Music]
Outside of meetings, most of today's
experiment work, checking that treatment
and control groups are balanced, and
digging into any issues that come up.
One test just finished, so I'm writing a
report that breaks down the results and
outlines key next steps for follow-up
testing.
Y
[Music]
so hot
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to the stage before.
>> Oh my god. What's going on?
Bring it down.
[Music]
Yeah, you learn that. A lot of
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It's too late. It's too late.
>> Yay.
>> Yay.
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>> A
>> Wow.
>> Oh. Oh.
Oh wow.
Okay.
[Music]
I'm back in San Francisco. I honestly
wanted to vlog more of Vancouver, but it
was such a short trip and I didn't
really have time. Vancouver was so nice.
There's a lot of stuff to do and there's
like really, really good food. I'm
actually so glad I was able to finally
see them in person and not over Zoom all
the time. So, today is going to be a
kind of chill work day. I have no
meetings, which means it's the best day
of all time. And that means I have some
time today to finish some tasks that I
have not had time to finish. Finally,
today I'm opportunity sizing for a
potential AB test. A big part of product
data science is helping the team
identify the highest impact
opportunities to improve the product,
which means digging into the data,
checking user traffic, and estimating
how much revenue we could generate from
the new feature.
[Music]
Heat. Heat.
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[Music]
Hi. I'm back from the office. So, I'm
thinking I'm like going to go for a run.
Yeah. Yeah. I've been trying to get more
into running. I used to only do the
12330 at the gym, like on the treadmill.
I got kind of bored. Like I kind of
needed to touch grass and a change of
scenery. I actually saw this meme where
people after they graduate college, they
get sorted into one of four houses like
Hogwarts. And I'm like trying to get
into running. Like I'm trying to get
into the running house, but like yeah,
I'm like bottom of the class, but I'm
like trying. I'm like trying. Anyways,
um come run with me. Oh,
[Music]
heat, heat.
[Music]
You don't have to worry.
>> So, I just started watching Mr. Robot
and so far I am super surprised by how
hooked I got on that show. Like so fast.
Anyways, it's all that I had for you
today and I shall see you in the next
one. Bye.
[Music]
Ask follow-up questions or revisit key timestamps.
This video follows a product data scientist through a work trip to Vancouver, offering insights into her professional responsibilities such as running AB tests and performing opportunity sizing. Upon returning to San Francisco, she discusses balancing work tasks with personal hobbies like running and watching TV series.
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