71
The Science of a great career in data science Kate Matsudaira CEO, Popforms @katemats

The Science of a Great Career in Data Science

Embed Size (px)

DESCRIPTION

A data scientist's job is all about details, but a data scientist's career path is much more ambiguous. When you're working in a hot, brand new field, the traditional career ladder just doesn't apply. So how do you succeed when there is no clear path for success? How can you be amazing at your job when "amazing" is still being defined? It starts with knowing exactly why your job is so different from others (there are no right answers), and learning how to explain your complicated work in an uncomplicated way. In this talk, you'll learn how to achieve success by leveraging your unique role to create the career you really want.

Citation preview

Page 1: The Science of a Great Career in Data Science

T h e S c i e n c e o f a g r e a t c a r e e r i n d a t a s c i e n c e

K a t e M a t s u d a i r a C E O , P o p f o r m s

@ k a t e m a t s

Page 2: The Science of a Great Career in Data Science
Page 3: The Science of a Great Career in Data Science
Page 4: The Science of a Great Career in Data Science
Page 5: The Science of a Great Career in Data Science

W h a t ’ s y o u r n u m b e r ?

Page 6: The Science of a Great Career in Data Science

W h a t d o y o u n e e d t o b e

g r e a t ?

image source https://www.flickr.com/photos/kwg73/4642433571/sizes/z/

Page 7: The Science of a Great Career in Data Science

i m a g i n e y o u r m o n d a y

m o r n i n g …

Page 8: The Science of a Great Career in Data Science

D o t h e y w o r k m o r e

h o u r s ?

Page 9: The Science of a Great Career in Data Science

D o t h e y w o r k m o r e

h o u r s ?

D o t h e y k n o w

s o m e t h i n g y o u d o n ’ t ?

Page 10: The Science of a Great Career in Data Science

D o t h e y w o r k m o r e

h o u r s ?

D o t h e y k n o w

s o m e t h i n g y o u d o n ’ t ?

H o w a r e t h e y

d i f f e r e n t ?

Page 11: The Science of a Great Career in Data Science

I t ’ s n o t j u s t w h a t y o u d o , i t ’ s h o w y o u d o i t

Page 12: The Science of a Great Career in Data Science

w h y d o e s n ’ t r e c o g n i t i o n c o r r e l a t e w i t h m e r i t ?

Page 13: The Science of a Great Career in Data Science

image source: https://www.flickr.com/photos/34558813@N07/3502250317/sizes/o/

data science is different

Page 14: The Science of a Great Career in Data Science

p e o p l e d o n ’ t u n d e r s t a n d w h a t y o u d o

Page 15: The Science of a Great Career in Data Science

H o w d o y o u c r e a t e t h a t A h - h a M o m e n t ?

Page 16: The Science of a Great Career in Data Science

1 ) Communication

Page 17: The Science of a Great Career in Data Science

craft clear messages

Page 18: The Science of a Great Career in Data Science

image source: h!ps://www.flickr.com/photos/kevinpoulton/4535814351/sizes/l

p u t t h i n g s i n a b u s i n e s s c o n t e x t

Page 19: The Science of a Great Career in Data Science

Before

P r e c i s i o n : 8 0 % R e c a l l 2 5 %

Page 20: The Science of a Great Career in Data Science

After

F o r t h e t o p s e a r c h t e r m s * a c c e s s o r i e s a p p e a r 2 5 % o f t h e t i m e o n t h e f i r s t p a g e . !

F o r t o p s e a r c h t e r m s t h e h e a d p r o d u c t s a r e p r e s e n t 9 0 % o f t h e t i m e i n t h e t o p 3 r e s u l t s , 9 8 % o f t h e t i m e i n t h e t o p 5 . !

* T o p s e a r c h t e r m s a r e t h e 1 0 0 0 m o s t p o p u l a r q u e r i e s o n o u r w e b s i t e o v e r t h e l a s t 3 0 d a y s .

Page 21: The Science of a Great Career in Data Science

image source: https://www.flickr.com/photos/gardner67/9159875478/sizes/l

measure with data that matters

Page 22: The Science of a Great Career in Data Science

how do you get things done?

Page 23: The Science of a Great Career in Data Science

collect data

do we have the infrastructure to analyze the data?

build it....

run experimentsget results

are we finished or do we need

more.....?

start here

yes

no

no

yes

research

data

do we have the right data?

Page 24: The Science of a Great Career in Data Science

image source https://www.flickr.com/photos/kevinpoulton/4331601741/sizes/l

share your progress

Page 25: The Science of a Great Career in Data Science

show before & after

image source: https://www.flickr.com/photos/legojeff/5464802716/sizes/l/

Page 26: The Science of a Great Career in Data Science

d o t h e y k n o w w h a t y o u

r e a l l y m e a n ?

Page 27: The Science of a Great Career in Data Science

there are three kinds of falsehoods: lies, damned lies, and statistics.

!

mark twain

Page 28: The Science of a Great Career in Data Science

use analogies &

examples

Page 29: The Science of a Great Career in Data Science

t h i s i s a r e a l l y h a r d p r o b l e m

Page 30: The Science of a Great Career in Data Science

constructing model lineages for products is really difficult

Page 31: The Science of a Great Career in Data Science

Macbook Air

Macbook

Macbook Pro

?Bravia

EX500 LCD

Bravia EX620 LED

Bravia EX523 LCD

?

be specific

Page 32: The Science of a Great Career in Data Science

product evolution

we are building a

lineage

take it up a level

Page 33: The Science of a Great Career in Data Science

!

w e k n o w i t i s h a r d … !

!

!

Page 34: The Science of a Great Career in Data Science

w e k n o w i t i s h a r d … !

b u t w e d o n ’ t k n o w w h y i t i s h a r d .

Page 35: The Science of a Great Career in Data Science

w h a t c a n y o u d o t o c o m m u n i c a t e b e t t e r ?

Page 36: The Science of a Great Career in Data Science

2) Make sure your work

matters

Page 37: The Science of a Great Career in Data Science

T i e e v e r y A n a l y s i s t o a b u s i n e s s d e c i s i o n

Page 38: The Science of a Great Career in Data Science

where can you fill in the gaps

image source: https://www.flickr.com/photos/gardner67/10559917655

Page 39: The Science of a Great Career in Data Science

manage your manager

image source: http://cbs1037litefm.files.wordpress.com/2012/11/113257831.jpg image source: https://www.flickr.com/photos/kwg73/4291698418/sizes/l

Page 40: The Science of a Great Career in Data Science

y o u s h o u l d s e n d y o u r s t a t u s i n e m a i l e v e r y w e e k

Page 41: The Science of a Great Career in Data Science

share with your whole team

image source: https://www.flickr.com/photos/zedthedragon/4494168312/sizes/o/

Page 42: The Science of a Great Career in Data Science

creative problem solving

image source: https://www.flickr.com/photos/93123479@N00/6823941239/sizes/l/

Page 43: The Science of a Great Career in Data Science

1.7GHz dual-core Intel Core i5 $300

256GB flash storage

Intel HD Graphics 4000

Apple premium

$250

8GB SDRAM

$200

$200

$100

$1050Estimated Value:

hard: value estimation

Page 44: The Science of a Great Career in Data Science

easier: comparing products

Page 45: The Science of a Great Career in Data Science

focus on your speed

image source: https://www.flickr.com/photos/gardner67/10333462023/sizes/l

Page 46: The Science of a Great Career in Data Science

g e t d e l i b e r a t e

i n s t i t u t e a w e e k l y n i n j a p l a n n i n g s e s s i o n

Page 47: The Science of a Great Career in Data Science

h o w c a n y o u b e s u r e y o u r w o r k m a t t e r s ?

Page 48: The Science of a Great Career in Data Science

3) create career capital

Page 49: The Science of a Great Career in Data Science

w h a t y o u k n o w + w h o y o u k n o w +

w h a t y o u p r o d u c e =

c a r e e r c a p i t a l

Page 50: The Science of a Great Career in Data Science

image source:image image source: https://www.flickr.com/photos/xjohns/6785555314/sizes/l

success comes from people

Page 51: The Science of a Great Career in Data Science

what are they doing

all day?

image source: http://cbs1037litefm.files.wordpress.com/2012/11/113257831.jpg image source: https://www.flickr.com/photos/jys07/8426549548/sizes/o/

Page 52: The Science of a Great Career in Data Science

trust

image source: http://redditlurker.com/funny/Post/t3_1152wx

Page 53: The Science of a Great Career in Data Science

w h a t i s t r u s t ?

Page 54: The Science of a Great Career in Data Science

build trustimage source: https://www.flickr.com/photos/kevinpoulton/4320490368/sizes/l

Page 55: The Science of a Great Career in Data Science

e l e m e n t s o f t r u s t

relationship architecture

reputation

contribution

Elements are based on Kay’s framework from the “Foundations of Corporate Success”

Page 56: The Science of a Great Career in Data Science

Who is the person you admire most at work? !

What do they do differently? !

How do they make you feel?

think about your coworkers….

Page 57: The Science of a Great Career in Data Science

image source: https://www.flickr.com/photos/templar_tan/9427894521/sizes/l

be the model teammate

Page 58: The Science of a Great Career in Data Science

h e l p p e o p l e m a k e t h i n g s h a p p e n

Page 59: The Science of a Great Career in Data Science

image source: https://www.flickr.com/photos/zedthedragon/5694561428

be amazing

Page 60: The Science of a Great Career in Data Science

d e p e n d a b l e

r e m e m b e r t h a t r e p o r t y o u r a n f o r m e l a s t m o n t h …

Page 61: The Science of a Great Career in Data Science

Make your work reproducible

image source: https://www.flickr.com/photos/30045765@N07/5595745081/sizes/o/

Page 62: The Science of a Great Career in Data Science

know your timing

estimate

actualanalyze

inco

rpor

ate

validate

confidence

Page 63: The Science of a Great Career in Data Science

Make 2 ordered lists: !

1. The most important people on your team 2. The people with whom you have the best relationships

relationship architecture

How can you improve your relationships on the team?

How will that impact your work and happiness?

Page 64: The Science of a Great Career in Data Science

r e l a t i o n s h i p s a r e l i k e f i l m s t r i p s

r e l a t i o n s h i p s a r e l i k e f i l m s t r i p s

Page 65: The Science of a Great Career in Data Science

w h a t c a n y o u d o t o b u i l d y o u r c a r e e r c a p i t a l ?

Page 66: The Science of a Great Career in Data Science

c o m m u n i c a t i o n + !

!

!

Page 67: The Science of a Great Career in Data Science

c o m m u n i c a t i o n + w o r k t h a t m a t t e r s +

!

!

Page 68: The Science of a Great Career in Data Science

c o m m u n i c a t i o n + w o r k t h a t m a t t e r s +

c a r e e r c a p i t a l !

Page 69: The Science of a Great Career in Data Science

c o m m u n i c a t i o n + w o r k t h a t m a t t e r s +

c a r e e r c a p i t a l =

g r e a t n e s s

Page 70: The Science of a Great Career in Data Science

W h e r e d o y o u w a n t t o g o

f r o m h e r e ?

Page 71: The Science of a Great Career in Data Science

T h a n k y o u !

h t t p s : / / p o p f o r m s . c o m h t t p : / / k a t e m a t s . c o m