Data science is a relatively new but rapidly evolving discipline, as more organizations focus on unlocking the insights held in big data.
Pressing Demand for Graduate-Level Talent
There is a critical shortage of data science expertise in the U.S. workforce today. A report by McKinsey Global Institute states, "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."
Top tech companies like Microsoft, Amazon, Google, Tableau and Cisco, among others, have expressed an urgent need to hire professionals with rigorous graduate training in data science.
"At Amazon Web Services, the exploding scale and complexity of data has meant that a new set of specialists is suddenly in great demand. Teams at both AWS and at the companies that rely on AWS are aggressively hiring analysts and engineers with graduate training in data science methods, systems and algorithms."
General manager of Amazon Web Services (AWS) Kinesis service
Diverse Job Opportunities
Across the globe, industry, government, nonprofit and research institutions are tackling big data projects that require data science expertise. The high demand for advanced data science skills is confirmed by leading career sites. LinkedIn voted "statistical analysis and data mining" the top skills that got people hired in 2014, and Glassdoor reports that the average salary for a data scientist position is about $118,000.
Data science roles include:
- Business Analyst
- Data Analyst
- Data Architect
- Data Engineer
- Data Scientist
- Marketing Analyst
- Quantitative Analyst