This document discusses designing a data scientist career using design thinking principles. It provides quotes from Albert Einstein emphasizing the importance of thoroughly understanding problems before developing solutions. The document also outlines the design thinking process, which involves discovery, definition, development, and deployment/evaluation phases to diverge and converge ideas through methods like ethnography, customer journeys, prototyping, and gathering feedback.

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Designing Your
Data Scientist Career
Data Science
Data
I n s i g h t

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“We can’t solve problems using the same kind
of thinking we used when we created them”
Albert Einstein
Design
Thinking

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“ “If I had an hour to solve a problem I'd spend
55minutes thinking about the problem and
5minutes thinking about solutions.”
Albert Einstein
Design Thinking has a long history and diverse influences

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Discover/
Observe/
Research
Define/
Frame
DeployPrototype
Evaluate
Solutions
Exploratory Formative Evaluative
D e s i g n M e t h o d o l o g y
Diverge Converge
* Inspired by Peter H. Jones - Systemic Design Principles for Complex Social Systems
* Inspired by Peter H. Jones - Systemic Design Principles for Complex Social Systems
Empathy
Extreme Users
Ethnography
Mindmap
Affinity Diagram
Customer Journey
Personas
Service Blueprint
Story Telling
Service Prototype
Experience Prototype
Service Blueprint
Story Telling
Service Design Thinking Process & Method
Customer Feedback
What’s been
covered today
ProcessMethod