Data Scientists/Data Analyst/ Statistician Job Advertisements in the year 2021

Job advertisements collected in the year 2021

DStidy_2021

Format

A data frame with 382 rows and 115 columns

ID: Row id
Consultant: Name of the consultant
URL: Web address of a particular job advertisement
Search_Term: Web search term of a particular job advertisement
DateRetrieved: Date of data retrieved
DatePublished: Published date of the advertisement
Job_Field: Name of the related job field
Job_title: Name of the job category
Company: Name of the company
Knowledge_in: Required knowledge to do a particular job , If not mentioned -> NA
Minimum Experience in Years: Minimum years of experience needed for the job , If not mentioned -> NA
City: City where the company is located in , If not mentioned -> NA
Location: Country where the company is located in
Educational_qualifications: Required educational qualifications
Payment Frequency: Payment basis of salary(i.e. "hourly","daily","monthly","yearly", "NA")
Currency: Currency type of the salary
Salary: Amount of salary
English Needed: If English proficiency is required -> 1 , If not mentioned -> 0
English proficiency description: Required level of English proficiency , If not mentioned -> NA
Additional_languages: If other lanuages except English is required -> 1 , If not mentioned -> NA
AI: If Artificial Intelligence is required -> 1 , If not mentioned -> 0
Natural_Language_Processing(NLP): If knowledge in NLP is required -> 1 , If not mentioned -> 0
Data_Pipelines: If knowledge in Data Pipelines is required -> 1 , If not mentioned -> 0
Machine_Learning: If knowledge in Machine Learning is required -> 1 , If not mentioned -> 0
Deep Learning: If knowledge in Deep Learning is required -> 1 , If not mentioned -> 0
Computer_vision: If knowledge in Computer Vision is required -> 1 , If not mentioned -> 0
Data_visualization: If knowledge in Data Visualization is required -> 1 , If not mentioned -> 0
Data_warehouse: If knowledge in Data Warehouse is required -> 1 , If not mentioned -> 0
BigData: If knowledge in Big Data analysis is required -> 1 , If not mentioned -> 0
Data_management: If the knowledge in Data Management is required -> 1 , If not mentioned -> 0
Data_mining: If the knowledge in Data Mining is required -> 1 , If not mentioned -> 0
Data_science: If the knowledge in Data Science is required -> 1 , If not mentioned -> 0
Bayesian: If Bayesian knowledge is required -> 1 , If not mentioned -> 0
Optimization: If Optimization knowledge is required -> 1 ,If not mentioned -> 0
Numerical_Analysis: If the knowledge in Numerical Analysis is required -> 1 , If not mentioned -> 0
IOT: If IOT is required -> 1 , If not mentioned -> 0
Data_translation: If the knowledge in Data Translation is required -> 1 , If not mentioned -> 0
R: If R is required -> 1 ,If not mentioned -> 0
SAS: If SAS is required -> 1 , If not mentioned -> 0
SPSS: If SPSS is required -> 1 , If not mentioned -> 0
Python: If Python is required -> 1 , If not mentioned -> 0
MAtlab: If Matlab is required -> 1 , If not mentioned -> 0
Scala: If Scala is required -> 1 , If not mentioned -> 0
C#: If C# is required -> 1 , If not mentioned -> 0
Java: If Java is required -> 1 , If not mentioned -> 0
C++: If C++ is required -> 1 , If not mentioned -> 0
C: If C is required -> 1 , If not mentioned -> 0
Bash: If Bash is required -> 1 , If not mentioned -> 0
Tensorflow: If Tensorflow is required -> 1 , If not mentioned -> 0
pyspark: If pyspark is required -> 1 , If not mentioned -> 0
YOLO: If YOLO is required -> , If not mentioned -> 0
MS Word: If knowledge in MS Word is required -> 1 , If not mentioned -> 0
Ms Excel: If knowledge in MS Excel is required -> 1 , If not mentioned -> 0
Ms Access: If Ms Access is required -> 1 , If not mentioned -> 0
Ms PowerPoint: If knowledge in Ms Powerpoint is required -> 1 , If not mentioned -> 0
Spreadsheets: If knowledge in Spreadsheets is required -> 1 , If not mentioned -> 0
Google_Analytics: If knowledge in Google Analytics is required -> 1 , If not mentioned -> 0
Microsoft Power BI: If knowledge in Microsoft Power BI is required -> 1 , If not mentioned -> 0
Tableau: If knowledge in Tableau is required -> 1 , If not mentioned -> 0
D3: If knowledge in D3 is required -> 1 , If not mentioned -> 0
Qlik: If Qlik is required -> 1 , If not mentioned -> 0
KNIME: If knowledge in KNIME is required -> 1 , If not mentioned -> 0
Spotfire: If knowledge in Spotfire is required -> 1 , If not mentioned -> 0
Linux/Unix: If knowledge in Linux/Unix is required -> 1 , If not mentioned -> 0
OLE/DB: If knowledge in OLE/DB is required -> 1 , If not mentioned -> 0
SQL: If SQL is required -> 1 , If not mentioned -> 0
NoSQL: If NoSQL is required -> 1 , If not mentioned -> 0
RDBMS: If knowledge in RDBMS is required -> 1 , If not mentioned -> 0
Oracle: If knowledge in Oracle is required -> 1 , If not mentioned -> 0
MySQL: If MYSQL is required -> 1 , If not mentioned -> 0
MongoDB: If MonoDB is required -> 1 , If not mentioned -> 0
MPP_Platforms: If MPP Platforms is required -> 1 , If not mentioned -> 0
SPL: If knowledge in SPL is required -> 1 , If not mentioned -> 0
Alteryx: If knowledge in Alteryx is required -> 1 , If not mentioned -> 0
Spark: If knowledge in Spark is required -> 1 , If not mentioned -> 0
Kafka: If knowledge in Kafka is required -> 1 , If not mentioned -> 0
Hadoop: If knowledge in Hadoop is required -> 1 , If not mentioned -> 0
Pig: If Pig is required -> 1 , If not mentioned -> 0
Hive: If Hive is required -> 1 , If not mentioned -> 0
Map/Reduce: If Map/Reduce is required -> 1 , If not mentioned -> 0
Impala: If Impala is required -> 1 ,If not mentioned -> 0
Storm: If knowledge in Storm is required -> 1 , If not mentioned -> 0
Google_Cloud: If knowledge in Google Cloud is required -> 1 , If not mentioned -> 0
AWS: If knowledge in AWS is required -> 1 , If not mentioned -> 0
cloud_storage: If knowledge in Cloud Storage is required -> 1 , If not mentioned -> 0
S3: If knowledge in S3 is required -> 1 , If not mentioned -> 0
Redshift: If knowledge in Redshift is required -> 1 , If not mentioned -> 0
DigitalOcean: If knowledge in Digital Ocean is required -> 1 , If not mentioned -> 0
Teradata: If Teradata is required -> 1 , If not mentioned -> 0
Solr: If Sloris required -> 1 , If not mentioned -> 0
Elasticsearch: If Elasticsearch is required -> 1 , If not mentioned -> 0
Presentation_Skills: If Presentation Skills are required -> 1 , If not mentioned -> 0
Communication: If Communication skills are required -> 1 , If not mentioned -> 0
Problem_Solving: If the ability of Problem Solving is required -> 1 , If not mentioned -> 0
Team_Handling: If the ability of Team Handling is required -> 1 , If not mentioned -> 0
agile execution: If agile execution is required -> 1 , If not mentioned -> 0
Data_marketing: If Data Marketing abillity is required -> 1 , If not mentioned -> 0
SEO: If knowledge in SEO is required -> 1 , If not mentioned -> 0
graphics_and_design_skills: If Graphic and Design Skills are required -> 1 , If not mentioned -> 0
Content_Management: If knowledge in Content Management is required -> 1 , If not mentioned -> 0
Economic: If the knowledge in Economic is required -> 1 , If not mentioned -> 0
Finance_Knowledge: If Finance_Knowledge is required -> 1 , If not mentioned -> 0
Investment_Knowledge: If Investment Knowledge is required -> 1 , If not mentioned -> 0
Debtor_reconcilation: If the ability of Debtor reconciliation is required -> 1 , If not mentioned -> 0
Payroll_management: If the ability of Payroll management is required -> 1 , If not mentioned -> 0
web_design_and_development_tools: If knowledge in Web Design and Development Tools is required -> 1 , If not mentioned -> 0
PHP: If PHP is required -> 1 , If not mentioned -> 0
Javascript: If Java Script is required -> 1 , If not mentioned -> 0
Web_Analytic_tools: If the knowledge in Web Analytic tools is required -> 1 , If not mentioned -> 0
BSc_needed: If a BSc Degree is required -> Yes , If not mentioned -> No/NA
MSc_needed: If a MSc Degree is required -> Yes , If not mentioned -> No/NA
PhD_needed: If a Phd Degree is required -> Yes , If not mentioned -> No/NA
Country: Country
country_code: country code
Job_Category: Job category

Source

Data wrangling part was done by Janith C. Wanniarachchie, BSc (Hons)Staistics, University of Sri Jayewardenepura and description file was prepared by Randi Shashikala.