Description of the job position
- Communication with the customer (internal customer), communication with the data architect, data analysts, programmers
- Collection of structured and unstructured data, data preparation
- Data analysis, machine learning, data transformation, predictive modeling, data visualization, text mining, NLP
- Design and development of a new solution (R, Python)
- Track new data trends
- Introduction of new solutions and methods in the field of Data Science
For companies – be confident when making decisions about salaries
Set the salaries of your employees fairly. A detailed salary report will help you to do this. You will always have relevant salary data to hand.
The most common career path of an employee
The graphic shows how employees most often progress in their careers. Click on the name of the position to get to its detail with salary data.
Position Data scientist - Information Technology in the labour market
In the salary ranking,
the job position takes
Women representation in position
Average age of respondent by position
659. place
Nursery School Teacher Assistant
Education, Science & Research
364 - 708 USD
39. place
Javascript Programmer
Information Technology
1,158 - 3,566 USD
38. place
Data scientist
Information Technology
1,217 - 3,508 USD
37. place
Regulatory Affairs Manager
Pharmaceutical Industry
1,091 - 3,258 USD
1. place
Lead developer
Information Technology
2,437 - 6,458 USD
Is this salary range too huge?
You can find out the average salary in your region by filling out a short questionnaire
Compare your salary with othersGet detailed information on salaries in your country
Pro
Salary report for the company
132.00 BGN*
* incl. VAT / 110.00 BGN excl. VAT
Order- Salary on position by region*, education, practice, business size
- Total salary and its components* (variable component, commissions, rewards)
- Responder distribution to payroll
- Salary ranges expressed by 1st decile, 1st quartile, median, 3rd quartile, 9th decile, and average wage.
- Detailed breakdown of all monitored non-financial benefits provided*
- Financial benefit analysis* * available when regression model is used
