How to Search for Data Science Jobs

by Robert A. Muenchen, updated 09/07/2023

This article describes the technical details of searching for jobs in the field of data science. The results of the searches are displayed and discussed in The Popularity of Data Science Software. 

Data Science Terms

Some software used for data science is also used for many other tasks. Let’s consider a few examples. General purpose languages, such as C, Java, or Python, are used heavily for some data science tasks, but if you do a job search on just their names, the great majority of jobs found will not be for data science. Other software such as Cognos, SAS, and Tableau are very popular for simple report writing as well as for data science jobs. Therefore simple searches will find a blend of both types of jobs. Finally, some software, such as Apache Spark, SPSS, or Stata, are very specific to data science. With such a mix of software, the challenge is to use search terms that will yield comparable values across all types of software.

To compile a list of search terms that are specific to data science jobs, I started out searching for jobs that required software that is used specifically for data science. I then looked for terms that often appeared in those job descriptions. Next, I searched for jobs that featured only those terms, one at a time. Some, such as “analytics,” resulted in searches that were not well focused; jobs that had nothing to do with data science would appear. Others, such as “econometrics,” did indeed focus on data science jobs, but only in the field of economics. As I worked my way through these searches, I found more search terms to test. The results are shown in Table 1.

Search TermsJobs Found 9/7/2023
Data analytics                 32,656
Machine learning                 30,223
Data Science                 23,113
Artificial intelligence                 22,773
Statistical analysis                 14,825
Big data                 12,825
Advanced analytics                    7,623
Data mining                    7,580
Business analytics                    6,187
Data engineer                    5,958
Data scientist                    4,762
Quantitative analysis                    4,562
Statistical software                    2,930
Predictive analytics                    2,667
Predictive modeling                    2,157
Statistical modeling                    1,929
Quantitative research                    1,700
Statistical tools                    1,633
Statistician                         620
Statistical packages                         574
ML Engineer                         567
Survey research                         527
Quantitative modeling                         407
Statistical Research                         284
Research computing                         279
Text mining                         267
Text analysis                         256
Quantitative analyst                         188
Text analytics                         172
Statistical computing                         119
Statistical analyst                            71
Statistics packages                            58
Data graphics                            30
Data miner                            21
Table 1. Terms used in data science job descriptions

I also searched on the terms shows in table 2. The jobs they found were either too vague or too focused, e.g., on only economics.

Analytics – not well focused
Analyze data – not well focused
Business intelligence – too much reporting
Data Visualization – too vague
Econometric – too focused
Research analyst – too vague
Research associate – very vague
Statistical – not well focused
Statistics – not well focused
Survey  – not well focused
Table 2. Terms that I tested, but which were not useful.

Ideally, one could include all the useful terms in a search, but’s limits the size of the search string. To determine the maximum string size, I put in the longest software string and then added in the data science terms. then truncated the data science terms, indicating its limit. Table 3 shows the resulting set of search terms that I used to append to each software title. For example, when searching for Java, I would enter: Java AND (“data analytics” OR “machine learning” OR …”statistical tools)”.

AND ("data analytics" 
OR "machine learning" 
OR "data Science"
OR "artificial intelligence"
OR "statistical analysis" 
OR "big data" 
OR "advanced analytics"
OR "data mining" 
OR "business analytics" 
OR "data engineer"
OR "data scientist" 
OR "quantitative analysis" 
OR "statistical software" 
OR "predictive analytics" 
OR "predictive modeling" 
OR "statistical modeling" 
OR "quantitative research"
OR "statistical tools")

Table 3. The data science terms and logic that are appended to all search terms.

Additional Challenges

Some software offered additional challenges. Those with letter names, C and R, were found using spaces before and after their names, such as (” R ” or ” R,”) . This isn’t a perfect solution since it would count an advertisement for a data scientist skilled in SAS at the “Toys R Us” company as a job for someone with R skills. Conversely, the search for an R programmer at the SAS Shoe company would also be counted as one for a SAS programmer. Many of these searches have similar flaws, but the size of the search limits accuracy. However, looking through the resulting job advertisements, you’ll see that errors with this search approach are rare.

When advertisements list the C language, it’s most often in the form of “C, C++, or C#,” so no attempt was made to differentiate those variants. However, Objective C was usually advertised for iPad or iPhone application development, so it was excluded.

Microsoft presented another challenge. Just its name combined with the data science terms yielded results that were heavily biased by the inclusion of general-purpose tools such as Microsoft SQL Server. Focusing the search with (“Azure Machine” OR “Azure Stream” OR “Microsoft R” OR “Cortana Intelligence” OR “Microsoft Cognitive” or CNTK) used up so much space that two of the data science terms had to be dropped: “statistical tools” and “statistician.”

Another challenging search was for Domino Data Labs’ Data Science Platform. The search (Domino AND “Data Science Platform”) found no jobs, not even for those from the company itself! Just the term “Domino,” along with the data science terms, found mostly job descriptions that mentioned Lotus Domino. For the 2017 search, I simply culled the small number of results by hand.

Similarly, the search for Alpine and the data science terms yielded mostly irrelevant hits, so I culled them manually.

The Search Terms

Table 3 shows the search terms used for each software. See Table 1 for the data science terms that were appended to every search except Microsoft, whose complete search is shown below.

Alteryx and data sci terms

Amazon: see SageMaker (otherwise very tough to focus on AWS)

Anaconda and data sci terms
(drop Flink next year; not general enough)

Apache Hadoop: Hadoop and data sci terms

Apache Mahout: Mahout and data sci terms

Apache Flink: Flink and data sci terms

Apache MXNet: MXnet and data sci terms

Apache Pig: Pig and data sci terms

Apache Spark: Spark and data sci terms

"Azure Machine Learning" and data sci terms

"BlueSky Statistics" and data sci terms

BMDP and data sci terms

Again, note that parentheses should NOT be used:
"C programmer" or "C programming" or "C developer" or
 "C++" or "C#" and !"objective c" and data sci terms

Caffe and data sci terms

"Civis Analytics" and data sci terms

Cognos and data sci terms

Databricks and data sci terms

Dataiku and data sci terms

DataRobot and data sci terms

Domino Data Labs: "domino data" and data sci terms
[Beware of just "domino" as it gets pizza data sci jobs!]

"Enterprise Miner" and data sci terms

FICO [avoid this one; too hard to focus away from credit scores]

FORTRAN and data sci terms

"GNU Octave" and data sci terms

Too difficult to nail down. See Tensorflow, etc.

graphPad and Prism and data sci terms

"H2O" and data sci terms

Hadoop and data sci terms

IBM SPSS: (SPSS and !"SPSS Modeler") and data sci terms

IBM SPSS Modeler: "SPSS Modeler" and data sci terms

"IBM Watson" and !"Watson Research Center" and data sci terms

Intellectus is confounded with several other tools and
a school named "Intellectus Preperatory" or "Intellectus Prep"
so while the counts are very low (1!) I'm manually filtering them

JASP and data sci terms

jamovi and data sci terms

Java and !"java script" and and data sci terms 

JMP and data sci terms

Julia and data sci terms

Keras adn data sci terms

KNIME and data sci terms

Lavastorm and data sci terms

Lasagne and data sci terms 

Mathematica and data sci terms 

MATLAB and data sci terms 

Megaputer or Polyanalyst and data sci terms 

Minitab and data sci terms 

Microsoft: see Azure machine learning & Power BI 

MLlib and data sci terms  

Number Cruncher Statistical System:
NCSS is its name, but its usage is close to zero, while the 
letters stand for many job-related abbreviations.
Don't even try this one!

OpenText is zero when combined with data sci terms;
by itself it might be 500, so don't include this one. 

Orange is a delightful data science tool, but there are
way too many uses of this word in job ads that have
nothing to do with this software. The way it is cited
is not found in job ads: "Orange: Data Mining Toolbox"

"OriginPro" or "OriginLab" and data sci terms 
[Just "origin" vastly overcounts.] 

Pentaho and data sci terms 

Power BI - this is tricky since it is spelled with and without
a space, and does not do a preceding "and" properly.
So you must do two searches, then add them:
"Power BI" and data sci terms +
"PowerBI"  and data sci terms

Python and data sci terms 

Pytorch and data sci terms 

R: (" R " or " R,") and data sci terms   

"R AnalyticFLow" and data sci terms

"R Commander" and data sci terms 

"R-Instat" and data sci terms

RapidMiner + data sci terms 

Rattle: impossible. You'll find "rattle you", "rattle them", "squeeks and rattles", "rattle paddle", "rattle snakes", etc.

RKWard and data sci terms 

SageMaker and data sci terms

("SAP Predictive"  or "SAP Automated"  or "SAP Leonardo"   or "SAP Hana") and data sci terms 

SAS: (SAS !"Enterprise Miner") and data sci terms  

SAS Enterprise Miner:  "Enterprise Miner" and data sci terms 

Scala: "Scala" and data sci terms  

"Scikit Learn" and data sci terms 

"Splunk" and data sci terms 

(SPSS and !Modeler) and data sci terms

"SPSS Modeler" and data sci terms

SQL and data sci terms 

Stata and data sci terms  

Statgraphics and data sci terms  

Systat and data sci terms  

Tableau and data sci terms  

Tensorflow and data sci terms 

Theano and data sci terms  

Tibco:  (tibco or spotfire or statistica) and data sci terms  

Vowpal Wabbit WEKA and data sci terms 

World Programming: "WPS Analytics" plus data sci terms  

Table 3. Search terms used for each software (see Table 1 for data science terms).

Searching for Trends has a Job Trends tool that lets you see how jobs are changing over the last several years. You can enter one or more searches from one of the examples above to see the trends. Unfortunately, searching for trends must be much simpler than’s main job search. The best pair of queries I could get to compare R and SAS is:

and ("big data"
or "data analytics"
or "machine learning"
or "statistical analysis"
or "data mining"
or "data science")

and ("big data"
or "data analytics"
or "machine learning"
or "statistical analysis"
or "data mining"
or "data science")

Now that you’ve got the details, examine the results here. I’m interested in improving this methodology, so if you have ideas, please comment below or email me at

24 thoughts on “How to Search for Data Science Jobs”

  1. A very good study indeed. By the way do you use the Advanced Job Search Option on or on the ordinary search option .

    1. Hi Soumya,

      I used the standard search. My searches were so specific that I did not find the advanced search added any capabilities that I needed.


    1. Hi Joe,

      Since my goal was to measure the popularity or market share of analytics tools, it did not even occur to me that people would use this info to actually find jobs. Doh! I’m glad it helped!


  2. Pingback: YOU CANalytics
  3. This is an extremely helpful post for people who are looking for jobs in the Data Science industry. Using advanced search is quite effective to find the posts you are looking for. Thank you for sharing this!

  4. should have a classification for employers for “Data Science ” for all of the “data scientists ” from different industries. Therefore, job hunting would be much easier for potential data scientists. Thanks for the articles.

    1. Hi Africa,

      If you look at their “advanced search” you’ll see the fields they allow you to search on. I’m searching on all fields, and it’s very fast. They could create a classification system where you would choose a category, like “Science & Technology” and then choose a subcategory like “Data Scientist”, but it would be a big job for them to maintain as terminology changes.


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