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STOP SEARCHING
FOR THAT
ELUSIVE DATA
SCIENTIST
By Michael Schrage
Stop hunting for that
data science unicorn
and/or silver bullet.
Odds are poor that you’ll
be able to find and hire
really good data
scientists.
THERE ARE
NOT ENOUGH
DATA
SCIENTISTS
THAT YOU
NEED.
SOMETIMES,
ALL YOU
NEED IS TO
LOOK JUST
AROUND YOU.Team work and peer learning is the best way to mitigate the problem
of expensive data scientists.
A mediocre data
scientist may be
worse than none
at all.
Big organisations
just throw money
to laid-off quants
of Wall Street.
Solution is..
Empower small cross-
functional data-oriented
teams
Emphasis is on building
greater data capability than
better digital infrastructures
The teams must be explicitly
charged with delivering tangible
and measurable data- driven
benefits in relatively short periods
of time
Data science must be a
cultural value, not just a
functional expertise.
The goal is to make all
of the organization more
conversant in how to
align probability,
statistics, technology
and business value
creation.
The temporary fix of data science teaming
doesn’t solve the problem, but it creates the
cultural and organizational context for the
necessary hires to follow.
Collective team
learned from
each other and
sent a message
to the rest of the
organization
that even baby
steps in
analytics could
yield large
strides in
outcome
“You must
cultivate
internal
capability,
not just hire
it.”
People don’t need to become data
scientists, but they do need to
understand and appreciate key
principles and practices of data
science.
YES!!
So are these teams ultimately a short-term
fix rather than a more sustainable solution
to the data scientist shortage?
As mobiles have changed way of
communication, Big data will change
analytics opportunities at the organisation
and create a pool of smart employees.
It is good to
collaborate..
Better
Collection
Understanding
of the
Employees
Better the
opportunities
to the team
Better
Relations
between the
staff.
Better learned
the workforce
will be
It is good to
collaborate..
Cost control is one of the primary
objective for a firm. Using existing talent
pool can significantly reduce hiring costs
and high compensation to data
scientists.
Limited ambition could do a better job
attracting credibility and support than
BHAGs.(Big Hairy Audacious Goal)
Thank you..
Prepared by: Abhishek Rana

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Stop searching for that elusive data scientist

  • 1. STOP SEARCHING FOR THAT ELUSIVE DATA SCIENTIST By Michael Schrage
  • 2.
  • 3.
  • 4. Stop hunting for that data science unicorn and/or silver bullet. Odds are poor that you’ll be able to find and hire really good data scientists.
  • 5. THERE ARE NOT ENOUGH DATA SCIENTISTS THAT YOU NEED. SOMETIMES, ALL YOU NEED IS TO LOOK JUST AROUND YOU.Team work and peer learning is the best way to mitigate the problem of expensive data scientists.
  • 6. A mediocre data scientist may be worse than none at all. Big organisations just throw money to laid-off quants of Wall Street.
  • 7. Solution is.. Empower small cross- functional data-oriented teams Emphasis is on building greater data capability than better digital infrastructures The teams must be explicitly charged with delivering tangible and measurable data- driven benefits in relatively short periods of time
  • 8. Data science must be a cultural value, not just a functional expertise. The goal is to make all of the organization more conversant in how to align probability, statistics, technology and business value creation.
  • 9. The temporary fix of data science teaming doesn’t solve the problem, but it creates the cultural and organizational context for the necessary hires to follow.
  • 10. Collective team learned from each other and sent a message to the rest of the organization that even baby steps in analytics could yield large strides in outcome
  • 11. “You must cultivate internal capability, not just hire it.” People don’t need to become data scientists, but they do need to understand and appreciate key principles and practices of data science.
  • 12. YES!! So are these teams ultimately a short-term fix rather than a more sustainable solution to the data scientist shortage? As mobiles have changed way of communication, Big data will change analytics opportunities at the organisation and create a pool of smart employees.
  • 13. It is good to collaborate.. Better Collection Understanding of the Employees Better the opportunities to the team Better Relations between the staff. Better learned the workforce will be
  • 14. It is good to collaborate.. Cost control is one of the primary objective for a firm. Using existing talent pool can significantly reduce hiring costs and high compensation to data scientists. Limited ambition could do a better job attracting credibility and support than BHAGs.(Big Hairy Audacious Goal)
  • 15. Thank you.. Prepared by: Abhishek Rana