쉐도잉 연습: How to Land a Data Science Job in 2 Months - 영상으로 영어 말하기 배우기

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most people think that going from a data analyst to a data scientist is very hard

and can take years however one of my recent clients billy

did this transformation in just two months billy joined my program on may 1st

and his goal was to land a senior data scientist position at global

or big company at that point in time billy has sent in over 30 applications

and didn't hear anything back he didn't know how to effectively communicate

and portray his skills on his LinkedIn

and resume he also didn't know how to communicate through recruiters during the interview process

and finally he didn't really fully understand how to position himself for these data science

and machine learning roles that he was targeting

but over the next couple of months Billy

and I worked very closely together to address

and solve these problems one by one Billy worked very hard every single day listen to the feedback

and then two months later he got offered a senior data science position at a global established company

and his total compensation went up by 30k usd how quickly

did it take you to get an offer out of curiosity i mean i know

but just like how quick was that process in terms of

when you start refining things to when you start getting offers it's uh one and

and a half months yeah it's much much I'm honest it's

much much than I expected yeah yeah I gave myself six

months yes to land my first author yeah yeah Billy is an absolute legend

and was a complete pleasure to work with in fact he's still in the program improving his skills even further

so in this video I want to break down the exact three -step system

that Billy followed

and is also a system I I've followed with all my other clients to help them land their dream data

or machine learning role.

Let's get into it.

So like I said Billy joined my program on May 1st

and he had so many questions about essentially how should he actually go from a data analyst to a data scientist.

At this point in time Billy had been working for just

over five years at an established big company here in the uk

and before that he was a journalist

so he spent most of his time at one company

and what he told me is that he enjoyed his work

but he felt a bit stagnant uh there wasn't much growth

and he was just a little bit he wanted something more exciting

because he wanted his career to really kick on

and reach those higher tier companies that he was after

when billy joined he asked questions like what type of data

science role should i target what kind of companies should i focus on

and can he move industries from media to other industries these are all great questions

and we started off by fixing his positioning

which was exactly in the first week so a thing I like to say

and it goes back to marketing is that

if you appeal to everyone you appeal to no one

and the same is true in this data field right I've

had people come to me who say there are a data analyst a data scientist

and a machine learning engineer not not even joking I literally had someone last week who had this exact profile

and I tell them you're not you can't be all three it's like saying you're a dentist a doctor

and you're also a psychiatrist you're just not right

and unfortunately you have to be specific and niche down in a particular area

so that you kind of swallow the market in

that let me show you an example so when someone asks me eagle you know what is your positioning?

What is your niche?

This is what I say.

I'm a machine learning engineer with over five years experience in the energy insurance and logistic industries, specializing in time series forecasting,

operations research, and apply machine learning.

It's very crystal clear and very specific, but that's deliberate because whenever someone LinkedIn searches machine learning engineer,

time series, optimization, London, I'm the first hit.

I swallowed the market in my positioning

and that's what enabled me to basically get offers fairly easily

because i'm the top here i don't go to people people come to me right

and this is the exact positioning i nailed every single client

as soon as they come into my program i literally sit down with them for half an hour

and i draft them out this two -centage summary so they're

so they are crystal clear on their positioning

and we did did this exact same thing for billy

and then billy's summary was journalists turned data scientists with five plus years of experience building machine learning forecasting

and statistical models across media products identifying 50 million pounds in revenue opportunities

that is just phenomenal summary right like when you hear

that you'd be like yeah this guy's good right he's condensed

that his revenue his specialisms and his industries

and also noticed he started already calling himself a data scientist you know before

that billy was a data analyst with some you know data data science work but we literally

or I literally forced him to call him a data scientist

because once you assume that profile and you kind of have

that goal and everything else you kind of tailor to

that it's like a mindset shift and you just assume

that identity and you just approach interviews applications in

that frame it's a real powerful psychological trick and like I said

that summary we just drafted Billy is very specific right like we mentioned his specialisms we mentioned

that he's in the media industry mainly and

that he's you know generated 50 million pounds in revenue i

mean like why wouldn't you want to hire this person particularly

if you're after someone in those industries it's just the positioning is

so nailed down that no wonder billy got a job

so quickly so after we got

that fleshed out billy then went on to update his resume

and his linkedin accordingly with that positioning

and as you can see from my comments here below on his resume review

that i gave him

that i was actually blown away by his resume now drafting a good resume is actually not that hard

and what it comes down to is people literally putting in

effort right it's just effort you know i've told many people i've got loads of videos on this channel

that your resume should have this this and this people still don't do it

but billy he literally listened to what i told him he literally went through every checklist i gave him

and he executed literally to the T, right?

That's why I was blown away because his resume was phenomenal.

But Billy's not an exception.

100

All of you can do this.

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It's more that are you willing to put in 10 hours of work to create a really good resume?

102

What Billy did exceptionally well was that every bullet point in his experience section was phenomenal, right?

103

So he hit on everything.

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He explained exactly what he'd done clearly in English.

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He added technical terms to show his knowledge, but he added them in organically he keyword padded as well

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so not only did he have technical terms but he also added keywords

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but he added them in a way

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that didn't seem like he was stuffing them in

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but they were added in very naturally he mentioned the metrics

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and the numbers he improved and finally he stated the exact financial

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and business impact of his work

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which the main thing let me give you an example i'm

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sure billy won't mind me sharing this from his resume of an experience bullet point like this is just fantastic.

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So listen to this very closely.

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Implemented a Bayesian probabilistic license fee uplift model using Monte Carlo simulation, beta distributions and PERT analysis,

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projecting a 900 % increase in detectable unlicensed accounts,

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27k additional cases monthly and a 15 million annual revenue opportunity.

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Deployed this model end -to -end pipeline with apache airflow and

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and aws redshift just wow i mean it sounds impressive right

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he built the model i understand what it did it had a metric improvement had a financial improvement

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and he deployed it end -to -end like these are the bullet points we should all aim for

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and no wonder

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if you write something like this on your resume someone be

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like yeah again this guy knows what he's talking about

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and that's the standard we want to adhere to

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and the fact is billy did it so perfectly that

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because the competition not gonna lie to you is quite low no wonder he was able to land the role

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so quickly because he just executed on the 80 of things

129

that most people just don't do

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and a second thing is to polish my linking profile

131

and cv yeah because before i joined this program i applied for uh dozens of jobs

132

and uh the conversion rate if i can put it that way the conversion rate was quite low, if I'm honest.

133

But that was because I was not communicating my experience very effectively on my profile and my CV.

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And Billy took this exact same framing and impact to his LinkedIn.

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And literally within the first, I think, four weeks, he immediately started landing inbound interviews.

136

In fact, one of his first interviews, which was 27 days later from joining my program was at Spotify right Spotify this is a company

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that people dream of getting into

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and Billy got it simply within four weeks just by being

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very precise in his positioning nailing his resume in LinkedIn

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and just really applying himself right and there's no secret he got

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that because he was working very hard and taking on feedback

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and just listening to everything we were working through

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and again Spotify interview in four weeks that's some people's dream

144

so after there'll be fixed positioning resume in LinkedIn we then had to get those interviews

145

but at this point in time Billy was smashing through interview requests

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or at least inbound and both outbound from recruiters he was getting

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so many interviews it was actually crazy in fact Billy was landing interviews at companies like PayPal Amazon

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and TikTok within a month

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and a half of joining my program I asked Billy like

150

why did why did he think he was landing all these interviews

151

and this was exact words he repositioned himself from analyst to

152

scientist makes sense he added all those revenue numbers on his cv resume

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and he started dming recruiters and general colleagues at these companies using our referral templates

154

and as you can see from the screenshot this is you know i'm not saying we're the best

155

but like i like to think we know what we're talking

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about billy said verbatim just like what you said guys just do it these things work

157

and during this program uh one thing very important is to always put revenue numbers on the cv right yeah and

158

that really helped me uh to land a lot of interviews

159

really a lot well i like to think well i do know what i'm talking about

160

but when you actually fully commit

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which what billy did to the program he listened to everything

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we told him he went through the steps we worked together

163

closely he asked for consistent feedback i'm not taking anything away from billy he worked very hard

164

but he applied everything we told him

165

and he also learned what worked for him there's no wonder

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he got results what kind of stops people in a job search is commitment

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and simply being like i am going to do this no

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matter what i'm going to listen i'm going to take the

169

feedback on board i'm going to go through the emotions most people have drama problems

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and what i mean is most things in life are drama problems

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or maths problems and majority of things

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that happen to you are honestly drama problems like you know i can't refer i can't reach out for referrals

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because it's transactional

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or I'm shy you know oh I don't know any numbers

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on my resume like none of my work was linked to business impact these are simply excuses

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and Billy didn't have any right he just said okay

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if this is what I need to do I'm going to

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do it he didn't think about it he was like okay

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Igor told me to do this it's working for me

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so let me carry on doing it

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and that's of what you need to do the job search

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is hard getting a data science job is difficult it requires

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a lot of work we get paid 100k a year here

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in the uk 200k a year in the us it's not a walk in the park

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but if you leave your emotions out of it you approach it very objectively you will make progress

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because you won't have that drama thoughts in your head with all these interviews

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that billy was landing he even's dming me keeping me up

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to date with all the ones he was getting through the

189

pipeline he was literally getting a brand new inbound from top companies reach out to him almost every single day

190

and he was just completely crushing it

191

but at this point he was landing these interviews

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but again that's only really half the battle once you land

193

these interviews you also need to understand how to convert them to act well first you need to pass them

194

and then learn how to convert them to offers with all of these interviews

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that billy was landing we did mocks for recruiter screen hiring manager coding interviews case studies

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and behavioral we literally did 10 mock interviews in just three weeks so

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that billy felt prepared for all of these interviews he was

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facing at multiple companies to be fair to billy i i

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imagine it was exhausting like preparing for his interviews he also

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has you know i hope he doesn't mind me saying a

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full -time job a family like he had everything going on

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yet he still managed to make time for applications recruiter reach out networking

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and also do 10 mock interviews with mean three weeks

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and you know i say again billy is a superhero in a way

205

but he just really wanted the outcome

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and there's no wonder he got it right and

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so we did mock interview practice for all of these interviews consistently

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and he took upon the feedback

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and he started passing through the interview rounds paypal's coding round

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tiktok's coding round um a lot of the recruiter screens of

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these companies he was just smashing through um the interview rounds simply from doing practice applying the frameworks

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and guides we gave him and just again leaving the drama out of it

213

and just thinking about this process completely objectively not only did we practice the interviews

214

but we also worked on how to actually communicate with recruiters throughout the interview process you see most people think

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that after you do an interview that's it right in reality it's like a date you know

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if i'm a man and uh

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and uh let's say i go on a date with a girl i would always ask

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if she got home safe right likewise

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if you're a girl probably the same thing right not only

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did we do mock interviews we also practiced on how to

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actually communicate with recruiters interviewers in between interview rounds is where you want to keep contact

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and what that means is sending them a follow -up email saying how much you enjoyed talking to them

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and the ideas you have so one thing is basically just how to respond to recruiters

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because before I joined this program I didn't really have much experience working with

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and also answering questions from recruiters yeah so I think it really helps

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because I can just get feedback from the community

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and also I can also directly message you

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and then you gave me some very useful feedback and

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so I knew how to like just respond to questions

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that recruiters were asking just keeping our communication warm for the next interview

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and this is exactly what billy and i worked with to ensure

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that he was progressing through these rounds with more we basically

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had a higher chance of progressing through the interview rounds

234

so again billy took on all his feedback executed on the frameworks

235

and then two months later he landed a senior data scientist role at a global company

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that like he said is somewhere he definitely really wants to be

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and he also got a 30k increase in total compensation

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and i guess your role now is a role you wanted

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or like i mean you have to give the exact specifics

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on title well company title like any sort of responsibilities

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or like the type of role you've got is something you're you're with

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or is that what were your feelings about

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that yeah definitely i'm completely happy with this yeah

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because in our first call in our initial call i said

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i wanted to find a uh senior a data scientist role in a big company global company yeah yeah

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and i also want to do more machine learning in my day today

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and this role that i've got checked all of the boxes

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that i just mentioned is a it's a massive global company

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and also i will be doing a lot of machine learning deploying models

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so again billy you are a great person to work with you're a fantastic individual

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and he's even now carried on learning

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and pushing himself to you know improve even more so

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that way next time

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when he's looking for another role he knows exactly what he needs to do

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and he's kind of like learned this process very well this process

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that we followed with Billy is not necessarily unique to him it's a system

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that we've used to help land over 55 data professionals

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and machine learning professionals in their dream role and

259

if you're interested in exactly

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and in detail how this system works then i recommend you

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check out this video where i literally break down the whole process in 90 minutes i'll see you there

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이 레슨의 어휘와 말하기 포인트

이 C1 수준 말하기 레슨은 영상 “How to Land a Data Science Job in 2 Months”을(를) 바탕으로 합니다. 가장 자주 반복되는 단어는 다음과 같습니다: billy, interview, resume, role. 이 영상에는 섀도잉할 문장 261개와 단어 3123개가 있습니다. 말하는 구간의 길이는 17:13입니다. 화자는 분당 약 181단어로 빠르게 말하므로 연음과 약하게 발음되는 소리가 많습니다. 단어의 83%가 영어에서 가장 많이 쓰이는 3,000단어에 속합니다. 나머지는 연습 전에 미리 확인해 두세요.

이 영상의 핵심 어휘

영상에서 가장 어려운 단어 15개를 발음, 뜻과 함께 정리했습니다.

단어	발음	뜻
deploy 동사	/dɪˈplɔɪ/	배치하다
phenomenal 형용사	/fɪˈnɒmɪnəl/	경이적인
recruit 동사	/ɹɪˈkɹut/	모집하다
execute 동사	/ˈɛksɪˌkjuːt/	처형하다
keyword 명사	/ˈkiː.wɜːd/	키워드, 핵심어
swallow 동사	/ˈswɑ.loʊ/	삼키다
pipeline 명사	/ˈpaɪpˌlaɪn/	관로, 파이프라인
smash 동사	/smæʃ/	부수다
forecast 명사	/ˈfɔːkɑːst/	예상, 예보
verbatim 부사	/vəɹˈbeɪ.tɪm/	말 그대로의, 글자 그대로의
interviewer 명사	/ˈɪntɚvjuɚ/	면접관
adhere 동사	/ædˈhɪə/	달라붙다
tailor 명사	/ˈteɪlɚ/	재단사
portray 동사	/poɹˈtɹeɪ̯/	묘사하다
psychiatrist 명사	/ˌsaɪˈkaɪ.ə.tɹɪst/	정신과의

영상에 나오는 구동사

단어	뜻
go up 동사	올라가다

이 영상의 문법

화자가 가장 많이 쓰는 문형을 영상 속 실제 표현과 함께 정리했습니다.

문형	영상 속 표현
수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점	was actually blown · was blown · were added
현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때	has sent · I've followed · i've told

주의할 발음

화자는 I'm, you're, didn't 같은 축약형과 약화된 형태를 61번 사용합니다. 들리는 대로 짧게 발음하세요.

“sh”와 “zh” 소리: smash /smæʃ/, redshift /ˈɹɛdˌʃɪft/, specialize /ˈspɛʃəˌlaɪz/, transactional /trænˈzækʃ(ə)nəl/, optimization /ˌɑptəmaɪˈzeɪʃən/
긴 단어 — 강세 위치에 주의: phenomenal /fɪˈnɒmɪnəl/, objectively /əbˈd͡ʒɛktɪvli/, detectable /dɪˈtɛktəbəɫ/, organically /ɔːˈɡænɪkli/, probabilistic /ˌpɹɑ.bə.bɪˈlɪs.tɪk/

한국어 화자가 어려워하는 소리:

/f/ — ㅍ(/p/)으로 바꾸지 말고 윗니를 아랫입술에 대기: phenomenal /fɪˈnɒmɪnəl/, referral /ɹɪˈfɜː.ɹəl/, forecast /ˈfɔːkɑːst/, redshift /ˈɹɛdˌʃɪft/, refine /ɹɪˈfaɪn/
/v/ — ㅂ(/b/)과 구별하기: objectively /əbˈd͡ʒɛktɪvli/, verbatim /vəɹˈbeɪ.tɪm/, interviewer /ˈɪntɚvjuɚ/, behavioral /bɪˈheɪvjəɹəl/
/z/ — ㅈ이 아니라 성대를 울리는 /s/: specialize /ˈspɛʃəˌlaɪz/, transactional /trænˈzækʃ(ə)nəl/, optimization /ˌɑptəmaɪˈzeɪʃən/, exhaust /ɪɡˈzɔst/, likewise /ˈlaɪkˌwaɪz/

이 영상으로 연습하는 방법

먼저 말하지 않고 영상을 끝까지 듣고 모르는 단어를 적어 둡니다.
0.75배속으로 한 문장씩 섀도잉을 시작하고, 익숙해지면 보통 속도로 돌아갑니다.
자신의 목소리를 녹음해 원본과 비교하고, deploy, phenomenal, recruit 같은 단어에 특히 주의합니다.

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법

쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.

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