Example: LinkedIn 2006
“[LinkedIn] was like arriving at a conference
reception and realizing you don’t know
anyone. So you just stand in the corner
sipping your drink—and you probably leave
-LinkedIn Manager, June 2006
Enter: Data Scientist
Joined LinkedIn in 2006, only
8M users (450M in 2016)
Started experiments to predict
Engineers were dismissive: “you
can already import your
Data Science is just the beginning
“The United States alone faces a shortage
of 140,000 to 190,000 people with deep
analytical skills as well as 1.5 million
managers and analysts to analyze big
data and make decisions based on their
The Process - LinkedIn Example
Frame the question
Collect the raw data
Process the data
Explore the data
Case: Frame the Question
What connections (type and number) lead to
higher user engagement?
Which connections do people want to make
but are currently limited from making?
How might we predict these types of
connections with limited data from the user?
But if you're interested...
Knowledge of statistics, algorithms, &
Comfort with languages & tools (Python,
Inquisitiveness and intellectual curiosity
Strong communication skills
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