The 7 roles that need to be played in a high-performing A.I. team: 1. Product visionary 2. Statistician or Analyst 3. Model-builder 4. The Implementer 5. Big Data Engineer 6. The Data Story-teller or 'Translator' 7. The Full Workflow Data Scientist

1. What is the A.I. Avenger Team – 7 Avenger Types

2. A.I. Product visionary
• Business-customer-product context
• Nature of available data - inside and outside
• ‘Art of the possible’ with A.I.
• Building end-to-end models
• Implementation planning

3. Statistician or Analyst
• Getting hands dirty with the data
• Patterns in data, clues for design
• Model prototypes
• Production ready models

4. Model-builder
• Building full models
• Model evaluation
• Model debugging
• Data analysis (often but not ideal)
• Product context (again not ideal)

5. The Implementer
• Take models into production
• How to get a model to scale in production
• Building with existing model services/APIs
• Why a model is failing
• How to improve the modelling process

6. Big Data Engineer
• Prepare big data sets, ready for models
• Understand problem to access relevant
signals and build a strong dataset
• Data hygiene
• Model building
• Data analysis

7. The Data Story-teller or “Translator”
• Communication with product and business on
how and why a model is working
• Finding opportunities to improve models with
problem intuition and system understanding
• Model building
• Model implementation

8. The Full Workflow Data Scientist
• Sees end-to-end picture on what it
takes to make a model successful
• Capable at every step of the workflow
• Silo role
• Limited scope

9. Product visionary or opportunity finder
0-1
What roles when?
1-10
10-100
Statistician or Analyst
The Implementer (using existing services)
Big Data Engineer
Model-builder
The Translator
More Implementers
Full Workflow Data Scientists
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10. Authors
Avi Patchava
@avipatch
Founders of Bright Capital
Varun Modi
@VarunKumarModi2