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.
Big Dive is a 5-week Big Data training program offered in Italy. The program is not free, but it has a great layout of topics. The program focuses on 3 main themes:
- Data Science
Big Dive runs from early June to mid-July, and the admissions deadline is April 27, 2014.
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.
- The Data Scientist’s Toolbox
- R Programming
- Getting and Cleaning Data
- Exploratory Data Analysis
- Reproducible Research
- Statistical Interence
- Regression Models
- Practical Machine Learning
- Developing Data Products
- Capstone Project
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, 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?
Collaboration is going to become an extremely important part of business strategy. Data Science will be a part of that.