The NBA Data Scientist
HTML-код
- Опубликовано: 27 сен 2024
- With her PhD in math, Ivana Seric had expected to wind up with a career in academia-but thanks to the growing use of statistical analysis in the NBA, she took a job with the Philadelphia 76ers instead. As a data scientist, she helps the team's coaches devise smarter strategies to win. Next Jobs is a mini-documentary series about careers of the future hosted by Bloomberg Technology's Aki Ito.
Video by Tom Connors and David Nicholson
Like this video? Subscribe: www.youtube.com...
Become a Quicktake Member for exclusive perks: www.youtube.com...
QuickTake Originals is Bloomberg's official premium video channel. We bring you insights and analysis from business, science, and technology experts who are shaping our future. We’re home to Hello World, Giant Leap, Storylines, and the series powering CityLab, Bloomberg Businessweek, Bloomberg Green, and much more.
Subscribe for business news, but not as you've known it: exclusive interviews, fascinating profiles, data-driven analysis, and the latest in tech innovation from around the world.
Visit our partner channel QuickTake News for breaking global news and insight in an instant.
![DDG & G Herbo - Nosey [Official Video]](http://i.ytimg.com/vi/I9Ra0Zc2NlQ/mqdefault.jpg)
ooof. all the science in the world couldn't stop Kawhi in that series
Name one thing that could have stopped him lol
@@reggin_spelt_backwards Lockdown defence like how Iggy locked down Lillard in the final minutes of game 2. Though it pains me to say, the chance that Leonard would've made that shot would've been reduced significantly with a proper defender guarding him. But it's super Kawahi we're talking about so you never know!
My Reply Notifications are OFF Kyle Lowry
Analytics cannot stop Embiid from acting like a shooting guard.
Daniel Sin Analytics can’t stop Embiid eating pre-game burgers on the court either
She has a better jump shot than the sixers star point guard. Lol
lol
hold this w real quick
What’s the percentage of Ben Simmons developing a jumper??
*probability
AisuruMirai you right! My bad! 🤣
never it's non existent
-10%
2%
great content Bloomberg!! As a current PhD student who works in Data Science and is a huge huge sports fan, this video really inspired me! THANK YOU !!
I am studying economics, we use lots of math, but obviusly not as much as a math student. Do you think I can become a data scientist?
So happy to read this - all the best to you!
@@tomconnors5697 :)
@Aki Ito :)
@@leoperez6737 you are missing the programming portion.
After 2 weeks of study, the 10-man analytics team presented their result to the coaching staff. Simmons can't make a three.
Oh damn. Nobody could’ve guessed that.
More like they spent time looking at everyone else and forgot to look at themselves..
Nice one.
But then devised a plan to zig while the rest of the league zags
Literally am going to be a data scientist because of this. I hope I can work for an mls team with data analytics with my soccer background. Amazing and inspiring video.
can i be your running mate?
Hey brother how is it going, have any social media handle where I could pick your brain and talk to you on?
Me too bro
She has the perfect dream career!
Yo for real! So nice!
I am really happy for her! Wish her the best of luck on her journey 💯
Data analytics has become very important in other sports, such as baseball (sabermetrics), and in public health, criminology, advertising and marketing, political science, military science and, of course, economics. And the mathematics is far more than number crunching. One is always looking for subtle, hidden data (signals).
Is the math mostly statistics or does it also involve linear algebra and calculus ?
I'm really glad she found her dream job with both of the things she is passionate about.
26% of women being data scientists does not mean they have a lower chance of being hired. How can a data scientist not understand that
That was strange to me too.
Not only that, she probably has a higher chance to be hired as industries try to create more diverse environments. Don't get me wrong, she probably deserves the job but bringing gender over simply the love of basketball is sad.
discrimination. it's real, beyond data.
the graphic showed that 26% of data scientists were women; not that 26% of women were data scientists.
today's journalism always slaps you with that prejudice stance, and are we even surprised?
Everything can be broken down into numbers. That’s why we have physics to explain life in numbers.
It can only be done by Russians and Asians though
@@archiej6386 Of course not by people like you, smh.
That's basically what chaos theory is, if you like this video you would love that.
Zachary Laid Finding Freedom break down consciousness into numbers please, then process it to generate new consciousness
@@olayinkaanifowose5099 Lol that's literally what we're attempting with Machine Learning and advancing AI. A complex organism's "conscience" is an amalgamation of biological chemical circuitry, and yes- that *can* be broken into numerical values.
thank you bloomberg! great content as always
She’s living her dream!! That’s amazing!!
Since I'm also from Croatia, currently a Computer science student and started playing basketball since I was 7, this inspired me immensely. I even wrote Ivana an email to which she unfortunately didn't respond, so I was thinking maybe you guys have some tips and guidance how to specialize in this concrete field (which literature, courses, basketball-related tips, anything).
Thanks in advance!
You got it, I hope everything is working fine for you now.
Houston went nuts with analytics shooting 3s. They are a seriously flawed team.
27 consecutive missed 3s is probably something analytics team did not anticipate happening
I am pretty sure the analytics people did not tell the Rockets to not play defense.
Thats team strategy, you're missing the team BUILDING strategy.. maybe they don't have the proper personnel..
amazing life and career she' having!!
I can appreciate all the Data Analytics post game. I just don't understand all these analytics needed pre-game. There will always be a % of randomization during the game that can completely change and destroy all these analytics...... Kawhi is a perfect example for this
Daryl Morey's been foaming at the mouth over analytics for the last 20 years. It hasn't won him a single Championship.
The analytics are essential “pre game” because it provides insight into most effective strategies based on evidence rather than conjecture. It’s why when people speak of teams of the past beating today’s greats, it becomes laughable from a data and analytics perspective as today’s game has evolved to understand that efficiency matters above all else thus the transition away from the “glory days” where post ups and midrange jumpers were the norm.
Of course there will be outliers like kawhi but some are predictable you could predict if a team is gonna win by analysing various metrics example Stephs last quarter shooting percentage you might think that he’s gonna shoot more and your gonna guard him but kerr might have slowly been making Klay or Poole taking the shots cause he knows Steph is gonna be covered his subtle signals can be obtained through a analysing shoots/ quarter or shoot/ last few minutes etc and also the individual contribution to the team ( like by having this person on the court what wins are we achieving etc )could be analysed based on which salaries playing time etc can be determined
Gender shouldn’t matter, why do they always have to bring it up? All that did matter was that she had a profound understanding of the game of basketball and a very intellectual mathematician mind. Who cares if you’re not a male? You are hired for your mind and skills, she perfectly fits for analytics in the NBA.
Edit: You’re*
@Ultra Instinkt Gender didn't matter. In fact, in a time like this where companies are chastised for not hiring more women regardless of their qualifications and pushing for equality of outcome, it would have been a lot more logical for her to assume she would have got the job. The field she's working in being male dominated is purely because most women don't study for that specific field and has less to do with companies specifically hiring males.
@Ultra Instinkt,
And yet... all the evidence and facts demonstrate the opposite of your position... your biased misconceptions are not what actually is going on.
Mike Halve
True
@Mark Halve I agree 100%. I don't know why they had to bring up the fact that she's in a male dominated field & has to do well cuz she's represent all women. In 2019, you'll get a job like this if you're qualified, regardless of your gender. As the video mentioned, she is extremely qualified!
It was mentioned purely for story telling purposes, It makes what she's doing seem more heroic for a lack of a better word
Great content. Kudos to ya Bloomberg 👏
10 (wo)man analytics team. Very impressive.
Data science + business degree is lit
Sounds like Business Analytics is what you’re after
This is the type of stat person a team needs. She is someone who is a numbers genius but knows enough about basketball to understand that the numbers change in certain situations. For example 3 pointers are better then 2 pointers but its easier for defenders to guard the 3 point line then it is the guard mid range shooters. The thing is since she is a basketball player she understands this while others will say, "all you have to do is shoot 3s and lay ups"
Well somebeody needs to upgrade or amend the algorithm and put more situations like what its worth to shoot a 3 pointer when you have a 2 or 3+ posession lead. That is the main thing that is wrong with how the league has interpreted the data about 3 point shots. Too many teams lose leads because they keep shooting 3's when they have a lead or a fastbreak.
Also, if you miss 2 or more consecutive 3 point shots, but the other team is scoring also, wouldn't it make sense to make 3 2's ins tead of bricking two 3 point shots. You could have easlily reduced your lead by shooting the easier shot in transition. I can understand taking 3's if the team is exchanging shots.
I can fully understand but it is really amazing how data science have enlarged the importance of such small areas which were neglected in the past.
Can you become this with just a Bachelor's in Engineering and a Masters in Data Analytics? Like not have to get a PhD? Because being a data scientist for the NBA sounds hella cool ngl
Actually just checked their job postings, yes it seems like PhD is not a requirement. But hmm you gotta still know your stuff pretty well I'm sure. Also all the jobs are in NY which I hate. Well, after getting a couple more years experience I might give it a shot! I also don't have that Masters yet :P but I hope to apply soon
She is a data scientist, and she can't tell that the reason there are less women hired as data scientists, is because less women pursue that carreer relative to men, and not because of a bias in the hiring process. She had equal chances when she sent her postulation than the men ceteris paribus.
Never understood why they play in Philly but practice in Jersey
Well the area they play is across the river and Camden and Philadelphia both border it. like it’s so close it’s basically philly. Camden is right next to philly connected by a bridge literally all
Its like Newark and New York almost
Brotherly Love Edits only difference is it’s by the water front away from the rest of Camden South North East and Cramer Hill
Tax break
What a dumb question
Take more 3 point shots... Metaphor for life
5:43 it is not "sort of" the ideal mix, it is a perfect mix
I admire your courage and passion. Keep it up!
Look at Ivana man, so inspirational :,)
Thank you bloomberg. This was very knowledgable and it inspires me
You tried to imply that the three-point revolution came about because of analytics. If anyone has any doubts, it wasn't analytics that did it, it didn't even start with the Splash Brothers.
More power to you Ivana!
the trend of the spread offense and more threes was started by steph and the warriors.
i like how they filmed this before the playoffs, when none of this stuff matters
data scientist/music producer here i come!!!!
Very lucky to have such opportunities in the USA...we do not have such opportunities out here in Africa ..it's actually my dream job
I don't need PhD for that. I just need NBA 2k
and you are not paid for what you are doing
ese tiro de kawhi fue una locura y evento inevitable, que buen trabajo que tiene me gustaría poder llegar a donde esta algún día
Loved this video, thank you.
Who'll win?
PhD mathematicians, computer scientists a lot of math, Philly fans, Joel embiid, and the whole 76ers team.
Or
One klawy boi
Awesome new segment, Bloomberg!
Why can't they get an interviewer who knows basketball.?
based wy like Paul Allen
man it really hit me on when she said she was going to ger first nba game
Ik right 3:10 "human sheild" its called a screen
I would love a job like this. I'm working on my Master's in Business Analytics. Hopefully, I can land a job in something similar
You got this
I’m stuck between completing a MSc in Business Analytics and an MSc in Data Science. I know the programs vary between from University to University but I am still interested in hearing all about your experience studying Business Analytics and what it’s been like for you after graduating.
U don't need a data scientist to teach Ben Simmons how to shoot 🤔
Actually it would probably be useful since it could help dictate best and most efficient shooting form based on historical data. Whether or not Ben Simmons will ever be able to do it is another question entirely
I think ds jobs have more males than females is not due to gender, or in this case, industry, but more due to fewer candidates with interest in STEM during education and follow through after graduation, just IMO
Jobs with people holding data scientist titles AREN'T entry level jobs for the most part. Look at who's already working in those fields.. Typically people already working with domain expertise tend to move into those jobs... probably already male dominated..
It's obvious, she's a data scientist and can't tell that?
She got a better jumper than Ben Simmons for real
Great job.
Amazing story!! Thank you for this!!
Interesting, never thought you'd analyze sports data like this
If you are a mobile user, turn on the captions and enjoy the video.
Trust me.
Very interesting and impressive! You are doing great guys!
Very inspiring! I will make it one day!
Contrary to what she said there's more chance you'll make it if you're a woman though due to diversity quotas, if your not then you'll have to work your ass of.
Shout out to njit!!! Less go!!
anyone can be a data scientist..you dont need a women to tell a women that. second you goal as a data scientist for an nba team is to help them have a better chance at figuring out the play style of the opponent and optimize the strat you have to gain a better chance of winning, if you didnt get them the win you fail your role.
@Yash Agarwal the Perfect Work !
Love that girl, all the best and have a great future, no one can stop you 👍
Very Cool.
She should also analyse Ben Simmons need to shoot 3s in the modern game
Very moving piece. Thank you.
Very inspiring. Great video!
sixers: how do we win?
data scientist: lose 300 games in a row
this data works better for MLB or NFL cause in the NHL/NBA the coaches usually go with gut feeling and a name like Reddick or Leonard. Though I will say that thanks to this data now every team has deadly 3 point average compared to 20 yrs ago where you had 1 or 2 players who could shoot from behind the 3 pt line.
Amazing content. Data is simply awesome.
Math in sport gives you an edge. Who knew!!
You are a true inspiration..
this was a great cover. data science for the win!!
Great and inspirational video!
Parabéns
Why do they make everything about sexism and how hard it is to be a working woman
You mean the the person with the best qualifications got hired? Wow what a novel concept. Male or Female. She was perfect for the job and so are a lot of men perfect over women for the job they have. Why do people insist on making things gender or race based?. If your the best qualified you get hired its 2019 not 1890.
Besides qualifications, there are attributes that gender and diversification provide to a work-place that can't be quantified. Same reasons you wouldn't hire a highly competent and qualified individual that is an asshole. You can't quantify assholism.
Because it’s a fact there’s less female data scientist, that’s why she is surprise. You probably don’t feel it, but most of the time minority will have the thinking “they not going to hire me because i would not fit in well”. That’s why many corporate trying to break this stereotype to encourage everyone regardless your gender or race to apply.
Your problem is you think the world is too idealistic, not every boss hire base on qualification, many bosses hire base on something they familiar with.
And my basketball coach turning it into nightmare for me. 😭😭😭
She is from my country of Croatia the first Croatian women in NBA 💪💪💪💪🇭🇷🇭🇷🇭🇷🇭🇷🇭🇷
she should of predicted that Ben Simmons has to be sold earlier.
Having a PhD in math... 26% of Data Scientist in NBA are women... just wondering the amount of women having a PhD in maths...
All the analytics in the world won’t help Ben Simmons get a jump shot 😂😂
will this data stop BALL HOG KYRIE from BALL HOGGING?
Salty Celtics fan detected
Smart, nerdy and athletic... love it!
This video was awesome!
There is a magnet in the ball and in the rim. NBA decide whether shot goes in or not...
What.... This so new for me
Great story! Very interesting!
Thanks, Rajiv Maheswaran!
Not only she is smart but she is actually beautiful as well
Even a female mathematician doesn't want to work for WNBA.
NBA data scientist would have Shaq sitting on the 3 pt line. These teams launching 3's left and right aren't winning championships. Even the Warriors in their run weren't chucking 3's left and right.
Cool, you love what you are doing!
I'm also becoming a ML Engineer!
*an ML
a game is a game at end of day. you can't fully eliminate the 'luck' element. i rest my case.
I guess you aren't familiar with math. A game is a game at the end of the day. It has rules and objectives. Important information can be recovered from that alone
there is no case to be made, obviously there is always "luck" element you dumbass.
@@woulzername actually i am quite familiar with the field. and yes, a game has rules/objectives, and you can always recover whatever info you want. In fact, there is beauty in doing so. But you can't use that to crunch a method to a games outcome! which is what they're trying to do. especially in competitive basketball where luck is so paramount and the winner is determined pretty much in final quarter by a small margin!
@@asierra1492 well you get my point fellow dumbass.
Rockets advanced analytics...shoot high volume 3's and flop to win free throws. How'd that work out? Such a horrible brand of basketball to watch thanks to their "strategy".
Not every paper game plan works out in practice for whatever given team.
If you use the best analytics for a team against another team that is just ridiculously more superior/experienced, you’re still likely to lose. That doesn’t prove that analytics is stupid or useless. Learn some basic common sense or logic.
Come up with a math formula to teach Simmons how to shoot
This is your typical high on camera quality and storytelling and very poor on real information piece. Instead of showing people talk about how great this or that is, you should have given us hard examples of analysis. This is just entertainment content.
no, sixers will never give hard examples of analysis, nor will any nba team, it will destroy their competitive advantage
this is the most u will ever get in any sports analytic video
she even tried to pry out examples of hard analytics but immediately got shut down with no, trade secret, can not share
Totally unrelated :D. At 0:46, the guy on the left side of the screen is wearing the Air Force PT shorts and probably the top as well. I'm glad I don't have to wear those small shorts anymore lol.
Ben Simmons makes her job easier because he doesn't shoot the ball
In the next years, NBA players will wear earpiece while playing and coaches and analysts will tell them what to do.
"DON'T CONTEST! HE'S GONNA FAKE!"
Wish the data was open source 😊
Baseball did that decades ago
Woah. Amazing 🔥👍
it's a new world of cross interests!
I love it