- Statistics for Data Science
- James D. Miller
- 191字
- 2021-07-02 14:58:45
Objectives of a data developer
Every role, position, or job post will have its own list of objectives, responsibilities, or initiatives.
As such, in the role of a data developer, one may be charged with some of the following responsibilities:
- Maintaining the integrity of a database and infrastructure
- Monitoring and optimizing to maintain levels of responsiveness
- Ensuring quality and integrity of data resources
- Providing appropriate levels of support to communities of users
- Enforcing security policies on data resources
As a data scientist, you will note somewhat different objectives. This role will typically include some of the objectives listed here:
- Mining data from disparate sources
- Identifying patterns or trending
- Creating statistical models—modeling
- Learning and assessing
- Identifying insights and predicting
Do you perhaps notice a theme beginning here?
Note the keywords:
- Maintaining
- Monitoring
- Ensuring
- Providing
- Enforcing
These terms imply different notions than those terms that may be more associated with the role of a data scientist, such as the following:
- Mining
- Trending
- Modeling
- Learning
- Predicting
There are also, of course, some activities performed that may seem analogous to both a data developer and a data scientist and will be examined here.
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