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
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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
She has the perfect dream career!
Yo for real! So nice!
I don't know why she would doubt herself getting the job, she seemed like the ideal candidate. Gender aside, how many math majors also played D1 basketball?
Tim Nelson also 25# isn’t that low of a share, there were 10 people on just her research team
Tobias Bengtsson 75-25 is a very significant majority lol, not engineering school level, but still
the real problem with the world is that intelligent people are full of doubts, while stupid people are full of confidence - charles bukowski
TheMadeGuy the smarter you are, the more you realize what you don’t know. I think that’s partially where it comes from.
Jason Li considering there were ten people on her team that’d mean if the numbers Carrie over there’d be at least 2 women on it
Ivana is living the dream! From Croatia to the NBA 🙌🏽
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
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 ?
3:05 love the explanation of pick & roll to a layman there, yes indeed the pick is the human shield & then once the human shield has shielded, the human shield proceeds to run to the basket
I admire your courage and passion. Keep it up!
thank you bloomberg! great content as always
Great content. Kudos to ya Bloomberg 👏
Thank you bloomberg. This was very knowledgable and it inspires me
I'm really glad she found her dream job with both of the things she is passionate about.
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.
Amazing story!! Thank you for this!!
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.
She’s living her dream!! That’s amazing!!
Awesome new segment, Bloomberg!
amazing life and career she' having!!
Loved this video, thank you.
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.
Very interesting and impressive! You are doing great guys!
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.
5:43 it is not "sort of" the ideal mix, it is a perfect mix
Bloomberg is always coming up with interesting insightful stuff. Unlike others in Mainstream media outlets.
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..
Love that girl, all the best and have a great future, no one can stop you 👍
Very cool video. Every nba team is into this now, but some do better jobs than others in it’s implementation. I’ve got a question for you in philly... pick n rolls these playoffs: 158 run with jimmy butler as the ball handler, 98 with Ben Simmons, and 74 with Tobias Harris. The least used of the 3 was easily the most effective at 1.17 points per pick n roll. (Source: Locked On Jazz podcast, May 13 2019). This number is HUGE for these analysts.. so why not use the guy that is actually better by the numbers?
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?
Amazing content. Data is simply awesome.
@Yash Agarwal the Perfect Work !
Very inspiring. Great video!
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
10 (wo)man analytics team. Very impressive.
Hopefully I can get some kind of data analyst job before i graduate =( this looks real cool, but sadly I think ill need a masters.
You are a true inspiration..
Look at Ivana man, so inspirational :,)
the trend of the spread offense and more threes was started by steph and the warriors.
This video was awesome!
Great story! Very interesting!
Cool, you love what you are doing! I'm also becoming a ML Engineer!
*an ML
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
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.
Interesting, never thought you'd analyze sports data like this
Data science + business degree is lit
Sounds like Business Analytics is what you’re after
Nice. I wish her the best!
Very moving piece. Thank you.
Great and inspirational video!
Woah. Amazing 🔥👍
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.
ese tiro de kawhi fue una locura y evento inevitable, que buen trabajo que tiene me gustaría poder llegar a donde esta algún día
Cool job! Hope she finds some strategy that brings back the post game.
Shout out to njit!!! Less go!!
this was a great cover. data science for the win!!
Analytics have its benefits, but going to the extreme would make the sport not human. In the playoffs, it is more important for players to exploit matchups, rather than looking at advantages in an analytical perspective.
it's a new world of cross interests! I love it
This is such a dope story. She's revolutionizing the GAME!!!!
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.
Data analytics is actually more domain knowledge than math. The math is straightforward, but the domain knowledge goes very deep.
The ability to diversify one's game as an individual................... NEVERMIND
Take more 3 point shots... Metaphor for life
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.
The will to win.. I want to know the statistics or any specific number on each player about this.
how can I get a career like this? I specfically want to work in sports and performance. will a masters degree in computer science/ data science help?
Pity the article devolved into more talk about male/female percentages in careers.
And my basketball coach turning it into nightmare for me. 😭😭😭
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
Great job.
2 minute time: Team A takes 12 three pointers only and makes 3 shots for 9 points 25%. Team B takes 12 two points and makes 6 plus 2 fouls and they make 3 out of 4 foul shots. Team B has 15 points. Even if you give Team A another three they have 12 points. Team B still wins and Team A shot 33% from three which is close to avg. The point is it matters who is tanking the threes and who is taking the FGs, not just a matter of stats, it’s both
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.
I bet her data says, get rid of Ben Simmons.
Loool bro
Simmons to LA confirmed lol
Great content
i like how they filmed this before the playoffs, when none of this stuff matters
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
bravo Ivana!!
Smart, nerdy and athletic... love it!
data scientist/music producer here i come!!!!
Math in sport gives you an edge. Who knew!!
That’s a dream job right there!
Ivana is Awesome!
She is awesome
So is this how NBA 2K visual concepts are able to determine… player attributes, Tendencies, athleticism, Defense, offense and so on???
Daryl Morey and the analytics folks have been doing this for the last 20 damn years. Sabermetrics, shot value, efficiency ... and it hasn't won them a single damn Championship. Numbers only take you so far: in the end, it's all down to talent, grit and effort when everyone's arms are too damn tired to shoot the same 45 percent arc they do in the regular season. Not to say that it isn't useful, of course, but the team with the better chemistry and the better coaching adjustments beats a bunch of numbers adjudging tendency and conversion rates any day, every day.
It is so motivated.
Amazing story
great content.
Svaka cast!
Analytics have made sure that all roster spots are filled with skilled players. No more 12th man ! No garbage time only fan favorites. Depth.
You sir are forgetting about TJ McConnell and the Sixers love for using him.
Maxi Kleber
She should also analyse Ben Simmons need to shoot 3s in the modern game
Very Cool.
There is a magnet in the ball and in the rim. NBA decide whether shot goes in or not...
Great video
Thanks, Rajiv Maheswaran!
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
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