Statistics for Data Science
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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.