The democratization of data is transforming our world. Sensors are everywhere. Cities are measur- ing and acting upon a wide variety of data sources. Governments at all levels are opening their data to their citizens. Old businesses are being transformed by data. Dynamic new businesses are powered by data. Anyone with a smart phone now carries with them a sensor platform generating data.
We project that by 2020 the number of positions for data and analytics talent in the United States will increase by 364,000 openings, to 2,720,000. In 2020, job openings for data scientists and similar advanced analytical roles will reach 61,799. This is a significant number, but it represents just 2% of the projected demand across all job roles requiring data and analytics skill.
To close the gap, workforce development and high- er education must look beyond the data scientist to develop talent for a variety of roles, such as data engineer, data governance and lifecycle and data privacy and security specialist, and data product de- veloper. Data democratization impacts every career path, so academia must strive to make data literacy an option, if not a requirement, for every student in any field of study.
In 2016 the number of job postings specifically for a data scientist (+5%) or data engineer (-2%) shifted slightly. The bigger finding is that certain skills transcend the position. These data-centered skills saw signi cant growth in 2016:
- Clinical Data Analysis: +54%
- Data Science: +40%
- Quantitative Data Analysis: +38%
- Data Visualization: +31%
- Data Engineering: +28%
- A/B Testing: +22%
- Machine Learning: +17%
Jobs specifying machine learning skills pay an average of $114,000. Advertised data scientist jobs pay an average of $105,000 and advertised data engineering jobs pay an average of $117,000
Source: The Quant Crunch