With more than 1700 data science jobs and $116,870 being the average data scientist salary – a Data Scientist job role is worth paying attention to in 2016. Glassdoor report ranks Data Scientist job as the “Best Job in America for 2016” based on career opportunities rating, number of open data science jobs and average salaries earned by data scientists. Business media from Forbes to The New York Times have had many headlines in 2015 about the increasing demand for data scientists, high salaries for data scientists and the skills set required to become a data scientist. It does not come as a surprise that data science is one of the fastest and hottest technology trend of 2016.Every company has an online presence these days and each one needs a competent data scientist who can help them store and manage their data for profitable decision making.
Big Data is here to stay and businesses will continue to hire experts in data storage and data analysis. Data Scientists have a unique advantage as the world increasingly turns towards data for better decision making. These unicorns of data analysis are of great value to any organization as they help discover novel information that paves way for new revenue streams or helps a company streamline its business operations.
Whether you are a data scientist speculating how your salary stacks up with your peers or you are an individual planning to pursue a career in data science - this detailed data science salary report that gives information about the data science salary range and average data scientist salary at some of the top tech companies will help you in your career choices. This data scientist salary report will help you get an approximation on the big money one can expect to earn from various data science jobs.
“Data Scientist” is likely to replace a “Doctor” or “Lawyer” as the profession of choice that parents will inspire and encourage their kids to pursue in future. 6000 companies are likely to hire data scientists and the industry is going to create 4.4 million data science jobs by 2018. According to a McKinsey report, by end of 2018 the demand for data scientists is expected to be 60% greater than the supply.
According to a recent news on Financial Times – “PwC seeks more data scientists to analyse deals.”- Feb 14th, 2016. PwC currently employs 500 data scientists and recent reports reveal that it will hire 1000 more data scientists in the next two years for global deals operations. The search for full time data scientist jobs on the popular job portal Glassdoor showed 2339 job listings in December 2015 with data science jobs from top tech companies like Fidelity Bank, Uber, Edmunds.com, Facebook and Pinterest. Data scientist jobs will be easy to find but difficult to fill. According to Bureau of Labor Statistics, employment for computer research and data scientists is anticipated to grow by 11% from 2014 to 2024.
Data Scientist is going to be one of the most difficult jobs to fill in 2016 as the job responsibilities and skill sets of a Data Scientist are yet being defined at several companies. Only 40% of the interviewed candidates get hired as data scientists by the top tech companies. This will also pose a recruiting challenge for the hiring managers in finding the best and the brightest candidates who can extract value from data.
Candidates interested to pursue a career in data science have often asked this question - “What skills are most employers looking for while hiring data scientists?” It is a known fact that data scientists are a rare breed as they are required to have high quality specialized knowledge and a myriad skill set but there are few skills which every data scientist must know. SQL, Hadoop, Python, R and Java are the five most desirable skills employers are looking for and are willing to shell out big money for candidates with expertise in these skills. According to CrowdFlower analysis of 3490 postings for data science job roles in LinkedIn, the most in-demand skills for data scientists in 2016 are -
Learn Hadoop to become a best data manager at one of the top tech companies!
Become a competent Python Programmer to build a lucrative career in data science!
Get Started working on your R programming skills for data science now!
Learn Apache Spark to stay ahead in the competitive world of data science!
It is obvious that technology firms like Netflix, Spotify, Uber and Amazon, have data science teams but the job role of a data scientist has now filtered down to non-tech companies like GAP, Nike, Neiman Marcus, Clorox and Walmart. These companies are looking to hire brightest professionals with expertise in Math, Statistics, SQL, Hadoop, Java, Python and R skills for their own data science teams.
The search for the term “Data Scientist” in California on Glassdoor showed 836 open data science jobs as of Feb 20th, 2016.
Data Scientist Jobs in Washington
The search for the term “Data Scientist” in Washington on Glassdoor showed 236 open data science jobs as of Feb 20th, 2016.
The search for the term “Data Scientist” in New York on Glassdoor showed 322 open data science jobs as of Feb 20th, 2016.
According to Burtch Works, an executive recruiting firm that surveyed 171 data scientists – the average data science salary for entry-level positions, range from $80,000 for people with 1 to 3 years of experience to $155,500 for people with 9 years’ experience. The average data science manager salary ranges from $140,000 to $240,000. A data scientist who heads a team of 10 or more people can earn as much as $240,000.
The average data science entry-level salary in US is $91,000 and in Silicon Valley it is a whopping $110,000.
According to Indeed.com, average data scientist salary is $123,000.
According to Glassdoor.com, average data scientist salary in the Bay Area is $126,000.
As the industry continues to see an increased salary trend for data science jobs, it is evident that the big data world that highly values their contributions.2016 is the best time to learn data science and make a career switch. DeZyre’s IBM Certified project-based data scientist training, in various tools and technologies like - Hadoop, Spark, Python and R helps individuals apply their research skills to a product or business for better decision making.
If you want to start your career as a Data Scientist - Enrol Now for IBM Certified Data Scientist Training in Python and R !