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Diffbot State of Data Science, Engineering & AI Report – 2019

Diffbot State of Data Science, Engineering & AI Report – 2019

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SUMMARY

This report finds that the United States is the AI leader with 152,068 data science employees, and the most common data science job titles are Data Scientist, Data Engineer, and database administrator.  How do workforces compare among top technology firms?

IBM has the largest workforce across job titles with 2,563 employees. Amazon and Microsoft have identical workforces at 1846 and 1800 respectively. Regardless of Google’s branding as a progressive company, the company’s workforce sits at 904. Of the major tech firms, Apple comes in last with 568 employees.

Which countries contain the largest Data science workforces? The United States is the AI leader with 152,068 data science employees. The US is followed by India, the United Kingdom, France, and Canada.

Across the top five national markets in Big Data, what are the most common job titles? According to this report, Data scientists and Data administrators are the most common position.

What are the most common job title in the Data Science, Engineering and AI field? Across global markets, Data Scientist, Data Engineer, and database administrator are the most common job titles in the data science and engineering field. What is the gender balance across leading tech positions? Database administration has the most balanced gendered workforce at 75% male and 25% female. Similarly, Data Scientists have a workforce composed of 77% male and 23% female. Data engineers have a balance of 86% male and 14% female.  

DETAILS

Overview

Researchfinder Rating
3 out of 5 stars
Title
Diffbot State of Data Science, Engineering & AI Report – 2019
Region
Global
Published
Jan. 30, 2019
Publisher
Diffbot
Price
FREE
Language
ENGLISH

Content

Number of Pages
7
Number of Tables
0
Number of Exhibits
5
Topics
ai
Tags
AI, AI survey, amazon, apple, artificial intelligence, big data, data analytics, data management, Diffbot, facebook, google, IBM, Microsoft, north america, Oracle, usa, workforce survey
Companies mentioned
IBM, Microsoft, Apple, Amazon, Facebook, Oracle, Google
Methodology
This report uses findings from the Diffbot Knowledge graph, an AI structured database of all Internet-based public knowledge.
EVALUATION

This report is a great introduction to the state of Big Data workforces across the globe.

At only seven pages, readers will not have to spend countless hours looking for information. However, the data range is limit. As a result, readers will not understand how these occupations and job titles changed over time. Moreover, non-industry readers may not grasp the difference between various job titles.

Positives

  • Clear writing
  • Concise report

Negatives

  • Vague job titles
  • Limited data sets

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