Name: Data Science Job Salaries
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Data Science Job Salaries

Content

Column	Description
work_year	The year the salary was paid.
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)

Acknowledgements

I'd like to thank ai-jobs.net Salaries for aggregating this data!

Tables

Ds Salaries

@kaggle.ruchi798_data_science_job_salaries.ds_salaries

19.4 KB
607 rows
12 columns


CREATE TABLE ds_salaries (
  "unnamed_0" BIGINT,
  "work_year" BIGINT,
  "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
);