**18.7%**with a median income of

**$98,600**, noting that

**six-figure salaries are not uncommon.**
From the article:

**What They Do .......**

*“apply various tools and methods to find meaningful patterns and insights in large data sets.”*

**Skills...**.

*“An affinity for numbers is key, as well as a command of computing, statistics, math and analytics”*

Here are some current examples (highlights from actual
posts via LinkedIn)of actual data scientist jobs:

**Senior Data Scientist**

EverBank - Jacksonville, FL (Jacksonville, Florida Area)

__Essential Functions:__Use advanced statistical techniques to develop assessments of consumer and business

__Minimum Qualifications:__

- Experience using at least one of the following statistical software is required: Base SAS, SAS Enterprise Miner or R.
- Experience with JMP a plus. Experiences in decision trees, clustering, missing data, Monte Carlo simulations is a plus.

__Desired Qualifications:__SAS Certification.

**Senior Data Scientist**

Jumptap - Greater Boston Area

__Principal Duties and Responsibilities:__

- Dig through our large data sets (cleaning them if necessary) and develop insights that can be used to improve our ad selection, delivery, and pricing
- Develop algorithms to predict user behavior
- Design and run experiments to compare algorithms and improve their effectiveness
- Bring successful algorithms from proof of concept all the way to product delivery

__Required Skills and Experience:__

- Masters or PhD Degree in Machine Learning, Operations Research, Applied Math, or other similar fields
- Good hacking skills
- Experience with analysis tools such as R, Matlab, SAS, Weka, or related tools

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