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DSjobtracker

What skills and qualifications are required for data science related jobs?

Installation

You can install the development version from GitHub:

#install.packages("devtools")
devtools::install_github("thiyangt/DSjobtracker")
library(DSjobtracker)

Glimpse of tidy data

tibble::glimpse(DStidy)
Rows: 1,172
Columns: 109
$ ID                                 <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, …
$ Consultant                         <chr> "Thiyanga", "Jayani", "Jayani", "Ja…
$ DateRetrieved                      <dttm> 2020-08-05, 2020-08-07, 2020-08-07…
$ DatePublished                      <dttm> NA, 2020-07-31, 2020-08-06, 2020-0…
$ Job_title                          <chr> NA, "Junior Data Scientist", "Engin…
$ Company                            <chr> NA, "Dialog Axiata PLC", "London St…
$ R                                  <dbl> 1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0,…
$ SAS                                <dbl> 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0,…
$ SPSS                               <dbl> 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0,…
$ Python                             <dbl> 1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0,…
$ MAtlab                             <dbl> 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Scala                              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ `C#`                               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ `MS Word`                          <dbl> 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1,…
$ `Ms Excel`                         <dbl> 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1,…
$ `OLE/DB`                           <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ `Ms Access`                        <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1,…
$ `Ms PowerPoint`                    <dbl> 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0,…
$ Spreadsheets                       <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Data_visualization                 <dbl> 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0,…
$ Presentation_Skills                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Communication                      <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ BigData                            <dbl> 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0,…
$ Data_warehouse                     <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ cloud_storage                      <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Google_Cloud                       <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ AWS                                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Machine_Learning                   <dbl> 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0,…
$ `Deep Learning`                    <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Computer_vision                    <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Java                               <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0,…
$ `C++`                              <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,…
$ C                                  <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,…
$ `Linux/Unix`                       <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ SQL                                <dbl> 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0,…
$ NoSQL                              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ RDBMS                              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Oracle                             <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0,…
$ MySQL                              <dbl> 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0,…
$ PHP                                <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0,…
$ SPL                                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ web_design_and_development_tools   <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0,…
$ AI                                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ `Natural_Language_Processing(NLP)` <dbl> 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0,…
$ `Microsoft Power BI`               <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Google_Analytics                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ graphics_and_design_skills         <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0,…
$ Data_marketing                     <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ SEO                                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Content_Management                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Tableau                            <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0,…
$ D3                                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0,…
$ Alteryx                            <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ KNIME                              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Spotfire                           <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Spark                              <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0,…
$ S3                                 <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,…
$ Redshift                           <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,…
$ DigitalOcean                       <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,…
$ Javascript                         <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,…
$ Kafka                              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Storm                              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Bash                               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Hadoop                             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,…
$ Data_Pipelines                     <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ MPP_Platforms                      <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Qlik                               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Pig                                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Hive                               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,…
$ Tensorflow                         <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ `Map/Reduce`                       <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Impala                             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Solr                               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Teradata                           <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ MongoDB                            <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Elasticsearch                      <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ YOLO                               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ `agile execution`                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,…
$ Data_management                    <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ pyspark                            <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Data_mining                        <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,…
$ Data_science                       <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0,…
$ Web_Analytic_tools                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ IOT                                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Numerical_Analysis                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Economic                           <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Finance_Knowledge                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Investment_Knowledge               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Problem_Solving                    <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Team_Handling                      <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Debtor_reconcilation               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Payroll_management                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Bayesian                           <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Optimization                       <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Knowledge_in                       <chr> NA, NA, "Elasticsearch, Logstash, K…
$ City                               <chr> NA, "Colombo", "Colombo", "Colombo"…
$ Educational_qualifications         <chr> NA, "Degree in Engineering / IT or …
$ Salary                             <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ URL                                <chr> NA, "https://www.google.com/search?…
$ Search_Term                        <chr> NA, "Data Analysis Jobs in Sri Lank…
$ Job_Category                       <chr> "Unimportant", "Data Science", "Dat…
$ Experience_Category                <chr> "More than 2 and less than 5 years"…
$ Location                           <chr> NA, "Sri Lanka", "Sri Lanka", "Sri …
$ `Payment Frequency`                <chr> "unspecified", "unspecified", "unsp…
$ BSc_needed                         <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1,…
$ MSc_needed                         <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,…
$ PhD_needed                         <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ `English Needed`                   <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,…
$ year                               <dbl> 2020, 2020, 2020, 2020, 2020, 2020,…

2021 survey data

df2021 <- get_data(2021)
df2021
# A tibble: 382 × 115
      ID Consultant URL        Search_Term DateRetrieved DatePublished Job_Field
   <dbl> <chr>      <chr>      <chr>       <chr>         <chr>         <chr>    
 1     1 Abhishanya https://w… statistics… 11/10/2021    11/10/2021    Informat…
 2     2 Abhishanya https://w… statistics… 11/11/2021    11/11/2021    Education
 3     3 Abhishanya https://w… Data scien… 11/11/2021    11/9/2021     Other    
 4     4 Abhishanya https://w… Data scien… 11/11/2021    10/13/2021    Other    
 5     5 Abhishanya https://w… Statistics… 11/11/2021    10/14/2021    Informat…
 6     6 Abhishanya https://w… Data Scien… 11/11/2021    10/14/2020    Health   
 7     7 Abhishanya https://c… Data engin… 11/11/2021    11/8/2021     Other    
 8     8 Abhishanya https://l… Data engin… 11/11/2021    11/9/2021     Other    
 9     9 Abhishanya https://w… Data engin… 11/11/2021    10/20/2021    Informat…
10    10 Abhishanya https://w… Data engin… 11/11/2021    10/21/2021    Finance  
# ℹ 372 more rows
# ℹ 108 more variables: Job_title <chr>, Company <chr>, Knowledge_in <chr>,
#   `Minimum Experience in Years` <dbl>, City <chr>, Location <chr>,
#   Educational_qualifications <chr>, `Payment Frequency` <chr>,
#   Currency <chr>, Salary <dbl>, `English Needed` <dbl>,
#   `English proficiency description` <chr>, Additional_languages <chr>,
#   AI <dbl>, `Natural_Language_Processing(NLP)` <dbl>, Data_Pipelines <dbl>, …

Preview of the tidy version of the dataset

head(DStidy)
# A tibble: 6 × 109
     ID Consultant DateRetrieved       DatePublished       Job_title     Company
  <dbl> <chr>      <dttm>              <dttm>              <chr>         <chr>  
1     1 Thiyanga   2020-08-05 00:00:00 NA                  <NA>          <NA>   
2     2 Jayani     2020-08-07 00:00:00 2020-07-31 00:00:00 Junior Data … Dialog…
3     3 Jayani     2020-08-07 00:00:00 2020-08-06 00:00:00 Engineer, An… London…
4     4 Jayani     2020-08-07 00:00:00 2020-07-24 00:00:00 CI-Statistic… E.D. B…
5     5 Jayani     2020-08-07 00:00:00 2020-07-24 00:00:00 DA-Data Anal… E.D. B…
6     6 Jayani     2020-08-07 00:00:00 2020-08-13 00:00:00 Data Scienti… Emirat…
# ℹ 103 more variables: R <dbl>, SAS <dbl>, SPSS <dbl>, Python <dbl>,
#   MAtlab <dbl>, Scala <dbl>, `C#` <dbl>, `MS Word` <dbl>, `Ms Excel` <dbl>,
#   `OLE/DB` <dbl>, `Ms Access` <dbl>, `Ms PowerPoint` <dbl>,
#   Spreadsheets <dbl>, Data_visualization <dbl>, Presentation_Skills <dbl>,
#   Communication <dbl>, BigData <dbl>, Data_warehouse <dbl>,
#   cloud_storage <dbl>, Google_Cloud <dbl>, AWS <dbl>, Machine_Learning <dbl>,
#   `Deep Learning` <dbl>, Computer_vision <dbl>, Java <dbl>, `C++` <dbl>, …

Preview of the untidy version of the dataset

head(DSraw)
# A tibble: 6 × 152
     ID Consultant DateRetrieved DatePublished Job_title     Company     R   SAS
  <dbl> <chr>      <chr>         <chr>         <chr>         <chr>   <dbl> <dbl>
1     1 Thiyanga   05/08/2020    <NA>          <NA>          <NA>        1     1
2     2 Jayani     07/08/2020    31/07/2020    Junior Data … Dialog…     1     0
3     3 Jayani     07/08/2020    06/08/20      Engineer, An… London…     0     0
4     4 Jayani     07/08/2020    24/07/2020    CI-Statistic… E.D. B…     1     1
5     5 Jayani     07/08/2020    24/07/2020    DA-Data Anal… E.D. B…     0     1
6     6 Jayani     07/08/2020    13/08/2020    Data Scienti… Emirat…     1     0
# ℹ 144 more variables: SPSS <dbl>, Python <dbl>, MAtlab <dbl>, Scala <dbl>,
#   `C#` <dbl>, `MS Word` <dbl>, `Ms Excel` <dbl>, `OLE/DB` <dbl>,
#   `Ms Access` <dbl>, `Ms PowerPoint` <dbl>, Spreadsheets <dbl>,
#   Data_visualization <dbl>, Presentation_Skills <dbl>, Communication <dbl>,
#   BigData <dbl>, Data_warehouse <dbl>, cloud_storage <dbl>,
#   Google_Cloud <dbl>, AWS <dbl>, Machine_Learning <dbl>,
#   `Deep Learning` <dbl>, Computer_vision <dbl>, Java <dbl>, `C++` <dbl>, …

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.