Information Technology

Salary for position Data scientist in Lithuania

Average netto salary for this position in Lithuania is

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80% of people earn:

1,764 - 4,563 EUR

10% earn less lthan 1,764 EUR

10% earns more than 4,563 EUR

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What does the data in the graph mean?

Salaries in the survey are expressed in net.

Based on the Manoalga.lt salary survey, 80% of people on the Data scientist position in the Lithuania earn between 1,764 EUR and 4,563 EUR monthly net.

10% of employees earn less than 1,764 EUR and 10% of people earn more than 4,563 EUR.

The survey is based on data from employees, cleaned of extreme and duplicate values. By taking a free, anonymous survey, you will get a more accurate salary comparison with other people working in the same position as you.

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What kind of work does Data scientist typically do

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

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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 in the labour market

In the salary ranking,
the job position takes

47. place

Women representation in position

40%

Average age of respondent by position

662. place

Porter, Information Staff

General labour

765 - 1,412 EUR

48. place

Radio Network Planning Specialist

Telecommunications

1,631 - 4,682 EUR

47. place

Data scientist

Information Technology

1,764 - 4,563 EUR

46. place

Ruby Developer/Programmer

Information Technology

1,693 - 4,789 EUR

1. place

Pilot

Transport, Haulage, Logistics

2,887 - 8,785 EUR

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What does a salary report contain?

Salary for the position by region, education, experience, company size, age
Distribution of respondents into wage bands
Salary range from 1st to 9th decile
A breakdown of all monitored non-financial benefits
Analysis of financial benefits

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