Big Data Jobs Are Booming…And So Are the Salaries

Lots of Big Data Jobs

iCrunchData, one of the most popular data science job sites, keeps an index of the data science job market. Recently, the index just passed 500,000 big data jobs posted online. That is a phenomenal number, and it just goes to show the massive need for more people with big data skills. Also of note, analytics jobs are at nearly 250,000 and even statistics jobs are approaching 70,000 according to the index.

The Jobs Pay Well

DataJobs, another popular data science job site, recently published Big Data Salaries: An Inside Look. DataJobs breaks down the salaries by job title and experience level. Here are some of the details:

  • An entry level data analyst should expect a yearly salary in the range of $50,000 to $75,000. A more experienced data analyst should expect as high as $110,000.
  • The range for a data scientist goes from $85,000 up to $170,000.
  • An analytics manager, depending upon the number of direct reports, can command a salary up to $240,000 for 10 or more directs.
  • A big data engineer can expect a salary of $70,000 to $165,000, depending upon level of experience and the company.

If you have the right skills, right now is an excellent time to find a big data job. If you don’t yet have the skills, it is a good time to start learning because the current trend of open big data jobs is showing no signs of slowing down.

Data scientists need their own GitHub. Here are four of the best options

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Ryan Swanstrom:

This article contains some really great information. I think these startups have huge potential.

Currently, I am a big fan of Sense. I will hopefully be posting more about Sense in the coming days.

Originally posted on VentureBeat:

Imagine if a company’s three highly valued data scientists can happily work together without duplicating each other’s efforts and can easily call up the ingredients and results of each other’s previous work.

That day has come.

As the data scientist arms race continues, data scientists might want to join forces. Crazy idea, right?

Two San Francisco startups — Domino Data Lab and Sense — have emerged recently with software to let data scientists collaborate on multiple projects. In a way, it’s like code storehouse GitHub for the data science world. A Montreal startup named has been talking about the same themes, but it brings a more social twist.

Another startup, Mode Analytics, is building software for data analysts to ask questions of data without duplicating previous efforts. And at least one more mature software vendor, Alpine Data Labs, has been adding features to help many colleagues in…

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Coursera Data Science Specialization – Started This Week

Coursera now offers a Data Science Specialization. The courses are taught by Johns Hopkins University. If you would like to earn a Specialization Certificate, each course will cost you $49 otherwise you can take the courses for free without earning the certificate.

Best of all, the first course started this week (April 7, 2014).

The Specialization consists of the following courses. You must complete all courses for the certification. If you are not interested in the certificate, you can take any or all the courses.

  1. The Data Scientist’s Toolbox
  2. R Programming
  3. Getting and Cleaning Data
  4. Exploratory Data Analysis
  5. Reproducible Research
  6. Statistical Interence
  7. Regression Models
  8. Practical Machine Learning
  9. Developing Data Products
  10. Capstone Project

Insight Data Engineering – A Free Tuition Training Program

The creators is the Insight Data Science Fellows Program have done it again. This time they have created the Insight Data Engineering Program. The program aims to training highly specialized software engineers that can build big data systems and big data pipelines. Unlike the data science program, the data engineering program does not target people with PhDs. Please visit the Insight Data Engineering website for a white paper with all the details on the program.

Here is an official announcement:

The Insight Data Engineering Fellows Program is a professional training fellowship designed to help engineers from various backgrounds, as well as mathematicians, and computer scientists, transition to careers in data engineering. – Tuition free, 6 week, full-time, data engineering training fellowship in Silicon Valley this summer. – Alumni network of 70 Insight Fellows who are now data scientists and data engineers at Facebook, LinkedIn, Microsoft, Twitter, Square, Netflix, Airbnb, Palantir, Jawbone and many others. – Interview at top technology companies hiring data engineers at the end of the fellowship. For more information please visit:

DataKind Looking For Local Chapters

DataKind, the organization matching nonprofits and data scientists, is looking for applications for Local Chapters.

The motto for DataKind is:

Let’s use data to change the world.

DataKind hopes to add 3-5 chapters by the end of 2014.  A Chapter will be responsible for building relationships between organiztions and data scientists, promoting data science for the social sector, and organizing data events.  If you are a skilled data scientist with a passion to change the world, this might be an excellent opportunity.  What do you think, are you going to apply?