What's inside dataset

work_year

The year during which the salary was paid. There are two types of work year values:
2020
Year with a definitive amount from the past
2021e
Year with an estimated amount (e.g. current year)

experience_level

The experience level in the job during the year with the following possible values:
EN
Entry-level / Junior
MI
Mid-level / Intermediate
SE
Senior-level / Expert
EX
Executive-level / Director

employment_type

The type of employement for the role:
PT
Part-time
FT
Full-time
CT
Contract
FL
Freelance

job_title

The role worked in during the year.
salary
The total gross salary amount paid.

salary_currency

The currency of the salary paid as an ISO 4217 currency code.

salary_in_usd

The salary in USD (FX rate divided by avg. USD rate for the respective year via fxdata.foorilla.com).

employee_residence

Employee's primary country of residence in during the work year as an ISO 3166 country code.

remote_ratio

The overall amount of work done remotely, possible values are as follows:
0
No remote work (less than 20%)
50
Partially remote
100
Fully remote (more than 80%)

company_location

The country of the employer's main office or contracting branch as an ISO 3166 country code.

company_size

The average number of people that worked for the company during the year:
S
less than 50 employees (small)
M
50 to 250 employees (medium)
L
more than 250 employees (large)

Dataset Source - ai-jobs.net Salaries

Tables

Data Science Jobs Salaries

@kaggle.saurabhshahane_data_science_jobs_salaries.data_science_jobs_salaries

11.91 KB
245 rows
11 columns


CREATE TABLE data_science_jobs_salaries (
  "work_year" VARCHAR,
  "experience_level" VARCHAR,
  "employment_type" VARCHAR,
  "job_title" VARCHAR,
  "salary" BIGINT,
  "salary_currency" VARCHAR,
  "salary_in_usd" BIGINT,
  "employee_residence" VARCHAR,
  "remote_ratio" BIGINT,
  "company_location" VARCHAR,
  "company_size" VARCHAR
);