Full Stack Data Scientist
Very interestingly I heard a new “title” name “Full stack data scientist”. But what’s it?
What do FSDS do?
- Embrace the full AI lifecycle
- Create full data scientist team with a lifecycle
- Leverage automation
- Enable other roles (like Developers) to become data science aware
- Setup business success metrics
A full stack data scientist is one who takes a data-driven concept from identification/ideation through to execution that results in some tangible, measurable and impactful improvement.
- Drive an organization to do something, not just analyze something.
- Can handle all aspect of technical development process
- Identify the business problem
- Identifying data sources
- Data Engineering
- ETL
- Feature Engineering
- Statistical Analysis
- Modeling
- Story communication
- Data Visualization
- User empathy
- Productionizing output
- Having an impact
One interesting comment is “A full stack data scientist (or executive data scientist) is unlikely to get hired by any company. This is not the role hiring managers are looking for. Instead hiring managers call them unicorns and believe they don’t exist”.
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If you decide to be a full-stack data scientist, you will be a generalist data scientist. This is great if you work at a startup or on a small team.
References
https://github.com/amitkaps/full-stack-data-science
https://www.quora.com/?pa_story=MTQwMDM5Nzc3NDc5MDU3MzY3MXwyMTExMDYyMzUwNjg2NjJ8MA**
