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An ordinary Machine Learning Team
A machine learning project starts with a lot of questions: what’s the project about? Which problem would it solve? Which pain would it ease? How should we plan it? What are the expected results? and a myriad of other questions. Of all of them, the utmost vital question is how we should build a robust team with suitable members. Having a dream team will not only respond to these questions but also make a butter-smooth transition from ideas to the production-ready solution.
Key Roles
- Data Analysts
- Data Engineers
- Data Scientist
- Research Scientists
- ML Engineers
- Developers
There are also other supporting roles:
- QA (Quality Assurance)
- TA (Test Automation)
- Annotators
Data Analyst
This is the magnifier to find the golden needle in the haystack. Their duties are:
- get insights from user data with:
descriptive statistics: give information that describes the data — some examples include Customer demographics, Landing page conversion rates, loyalty and retention rates)
