Data Science Job Salaries
Salaries of jobs in the Data Science domain
@kaggle.ruchi798_data_science_job_salaries
Salaries of jobs in the Data Science domain
@kaggle.ruchi798_data_science_job_salaries
| 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) |
I'd like to thank ai-jobs.net Salaries for aggregating this data!
CREATE TABLE ds_salaries (
"unnamed_0" BIGINT -- Unnamed: 0,
"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
);Anyone who has the link will be able to view this.