Global Data Scientist market demand analysis

Posted on Aug 12, 2018

Indeed Web Scraping for International Data

Data Scientist has been named the best job in America according to Glassdoor’s rankings for three consecutive years. While we know that data scientist are in demand in most countries, a rigorous comparative analysis of the number of positions and salaries of data scientists around the world is needed. In order to figure out the best places for data science career opportunities, we want to answer the following questions:

  • Which country/city has the highest demand for data science positions?
  • Do the skill requirements vary depending on the location?
  • Which degrees are in highest demand in different countries, and how do they impact salary?
  • Where are the highest paying jobs?
  • What are the top hiring companies around the globe

From the spider to the dataset

To answer these questions I used Scrapy to scrape the Indeed website for all the Data Scientist jobs posted in the last 30 days, in 58 countries and 1144 cities, resulting in a 50Mb database of  over 14,000 job postings.

Scraping Indeed for international data presented several challenges. The main ones I had to work around are the following:

  • Javascript modifying class names: I solved it by turning off Javascript in Chrome
  • Scraping and processing multi-country data: I achieved this by iterating over a list of world wide links.
  • Indeed limiting the search results to 1000 postings per search. I overcame this by breaking down the search results:
    • Filtering the jobs that were up to 30 days old.
    • Breaking down the search for each country into three for the three different job levels: entry, mid and senior. This subdivision had no analytical purpose but only to be able to scrape all the postings.
    • Iterating over the 15 top cities for the countries that had over 1000 job posting even after breaking down by job level. This was the case for the USA and UK. For this reason, only the top 15 cities were scraped.

This dataset provided important insights about Data Scientist job market around the world.

Do the skill requirements vary depending on the location?

The first question I asked was whether the skill requirements vary depending on the location. As we can see in the following graph, Python is the dominant language, closely followed by machine learning.The second and third most wanted languages are R and SQL.

Now, when we compare the skill demand by city in the top 25 cities based on number of postings, while we see the clear dominance of python followed by R and SQL, we can also observe interesting differences between the cities. For example, Singapore’s interest in R is almost as high as in Python. New York and San Francisco postings call for the three languages, Python, R and SQL. Whereas, San Diego shares the interest in R and Python, it shows  low interest in SQL. Redmond has a very high demand for AWS and C, probably related to the fact that one of its largest employers is Amazon with Microsoft competing for cloud talent.

Lastly, a word cloud based on all the job postings confirms the absolute general interest in machine learning.

Demand for Data Science Positions and Degrees

As for the number of job openings, New York is the city with the highest number of postings, with over 1,400 for the past month. NYC is followed by San Francisco and Seattle in the USA, London in Europe, Bengaluru in India, and Singapore.

Regarding the title demand, almost 40 percent of the job openings are interested in bachelor's degrees, almost 30 percent in master's degrees and about 25 percent in PhDs.

USA is the only country that has a much higher demand for bachelor's than for master's. India and Canada have high demand for bachelor's/master's. Interestingly, European countries have higher demand for master's than bachelor's, and PhDs seems to be most valued in USA, UK, Singapore and Canada.

Highest paying job by location and degree

What we want to know next is whether the variability between countries and titles correlates to differences in salaries. For analyzing the salary data, an important limitation was the low number of postings that reported salary (~10%). The salary data shown in these graphs corresponds to the countries of the top 25 cities (per number of postings).  This salary data is the result of averaging the upper limit of the posted salary range and the lower limit of the posted salary range per location and normalizing to annual pay and US $ currency. As expected USA has the highest paying jobs, and the highest paying cities within it are: New York, San Francisco and Seattle.

PhDs earn about $10K more than people with a master's degree who, in turn, earn about $2K more than those with only a  bachelor's degree.

However, if we normalize for cost of living and rent, UK, Singapore and Canada catch up with the US. This trend is also reflected in the cities chart, in which London, Singapore and Toronto stand now almost at the same level as the highest paying cities in the USA. For normalizing for cost of living and rent, the average salary was divided by the Cost of Living Plus Rent for Country Index 2018 (Numbeo).

Strikingly, after normalizing for cost of living and rent, the differences in pay between master's and bachelor's are lost.

However, if we divide the data between USA (Panel A) and non-USA countries (Panel B), we can see that while in the US a master’s degree is related to a higher pay, in the Non-USA countries, it is not the case, probably due to the fact that most non-USA countries demand master's degrees and the number of postings that require a bachelor's is very reduced.

Panel A

Panel B

Top hiring companies

Finally, let’s have a look at the top hiring companies. Considering all the job postings, Amazon, Microsoft and Facebook stand at the top.

If we look at the three top companies in the top 10 cities we find: JUUL Labs, Autodesk and Uber for San Francisco and NYU Langone Health, Weill Cornell Medicine and JP Morgan Chase for NY.


Summing up, considering that I acquired a solid understanding of Python, R, SQL and Machine Learning at NYC Data Science Academy bootcamp and these skills are required in all countries, and that I have a PhD, which is most valued in USA, UK, Singapore and Canada, and within these countries the highest paying cities are: New York, San Francisco, Seattle, Toronto, London and Singapore, you’ll probably find me in one of these cities, hopefully, not too many months from now!


The Spider code can be accessed in this GitHub repository.

The graphs were done with Plotly's graphing library.

The data was scraped from the Indeed website.

Image credit: Google Images.

The skills the author demonstrated here can be learned through taking Data Science with Machine Learning bootcamp with NYC Data Science Academy.

About Author

Elsa Vera

Elsa Vera has a PhD in Biology, Biochemistry and Biomedicine. She is currently working as a Data Scientist at JPMorgan Chase. Before joining the bootcamp she was a scientist in the field of genomics, cancer stem cells and...
View all posts by Elsa Vera >

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