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.
The Central Intelligence Agency is hiring data scientists. They appear to be hiring at multiple levels. Unfortunately, the position description is quite vague. It is tough to know exactly what the CIA is looking for and technologies are currently being used at the CIA.
Data Scientist Job Posting at the CIA
If you follow the blog, you probably know I am a big fan of Kaggle. Just last week, they announced the launch of 2 new products.
- Kaggle Recruit In this competition, the participants are not competing for a cash prize but rather a job interview with a specific company. Currently, Facebook is hosting the first such competition.
- Kaggle Prospect In this competition, the participants are trying to come up with the best question to ask. Participants are presented with various related datasets, and the goal is to find which data science question should be asked of the data. The winner gets a small cash prize, and the winning question becomes a regular kaggle competition.
What do you think? Are you excited to try out these new competitions?
Big Data: The next frontier for innovation, competition, and productivity | McKinsey Global Institute | Technology & Innovation | McKinsey & Company.
This report by McKinsey & Company is frequently referenced, so I thought I should post a link to it. It includes the following quote about the lack of talent to fill Big Data positions.
By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.
This quote is why now is a great time to be learning to become a data scientist.
A few weeks ago, I posted 16 Companies Hiring Data Scientists Right Now. I decided to do a bit of analysis on the job posts, so I took all the job posting and compiled them into one file.
I wanted to determine 2 things:
- What words occurred most often in the job posts?
- What words occurred in the most jobs posts?
The questions are similar, but if you read closely, they are different. I wrote some Java code to answer those questions. The raw results are posted here.
Honestly, nothing too surprising showed up. Not counting the common English words (and, to), the word data was the most popular. It occurred 167 times and it occurred at least once in all 16 job postings. That makes sense; a data scientist should know about data. I thought hadoop would occur in all job descriptions but it only appeared in 11 of the 16 job descriptions. Here are some other words I found interesting:
- statistical occured 29 times and in 10 job descriptions
- analysis occured 46 times and in 13 job descriptions
- analytics occured 22 times and in 6 job descriptions
- statistics occured 16 times and in 9 job descriptions
- machine learning occured 14 times and in 9 job descriptions
- phd occured 11 times and in 11 job descriptions
- sql occured 12 times and in 10 job descriptions
On an interesting note, Python and R occurred in more job postings than Java (2 more to be exact).
Does anything in the results strike you as interesting?
Data Scientist is the hot new job for 2012. Does this job really exist? Who hires these people? Are companies currently hiring? The answers are: yes, lots of companies, and yes. I decided to spend last night looking for companies that are currently hiring data scientists. It did not take long to compile a pretty good list.
Data Scientist Job Openings
||Microsoft Sr. Data Scientist
||Los Gatos, CA
||NetFlix Senior Data Scientist
||San Francisco, CA
||Kaggle Data Scientist
||San Mateo, CA
||Greenplum Data Scientist
||Last.fm Data Scientist
||San Antonio, TX
||Rackspace Data Scientist
||Amazon Data Scientist/System Architect
||Menlo Park, CA
||Facebook Data Scientist
||San Francisco, CA
||Twitter Data Scientist
||Mountain View, CA
||LinkedIn Data Scientist
||Cobalt Data Scientist
||San Jose, CA
||Paypal Data Scientist
||San Jose, CA
||Bunchball Data Scientist
||Palo Alto, CA
||Principal Engineer/Data Scientist
||Little Rock, AR
||Acxiom Data Scientist
||San Francisco, CA
||Trulia Data Scientist – Data Science Lab
Do you know of any other companies hiring Data Scientists right now?