Slide 7
Slide 7 text
7
• Build and optimize data
pipeline architecture
• Assemble large,
complex data sets that
meet requirements
Data Engineer Data Analyst
Big data infra, SQL, ETL,
message queuing
• Interpret data, analyze
results using statistical
techniques
• Identify, analyze, and
interpret trends or
patterns in complex
data sets
Statistics, Data
Visualization, Business
Knowledge
SKILL RESPONSIBILITY
Pipeline
Biz
• Select appropriate
datasets and data
representation methods
• Research and implement
appropriate ML
algorithms
Data Scientist
Machine learning, deep
learning, CV, NLP, Speech
Model
ML Engineer
• Build and scale machine
learning infrastructure
• Monitor model
performance
System infrastructure
design, DevOps
Service
常見的組織分佈