Information Technology

Salary for position Data scientist in Kenya

Gross salary in Kenya is

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80% of people earn:

345 - 1,289 EUR

10% earn less lthan 345 EUR

10% earns more than 1,289 EUR

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What does the data in the graph mean?

Salaries in the survey are expressed in gross.

Based on the Paylab.com salary survey, 80% of people on the Data scientist position in the Kenya earn between 345 EUR and 1,289 EUR monthly gross.

10% of employees earn less than 345 EUR and 10% of people earn more than 1,289 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

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Position Data scientist in the labour market

In the salary ranking,
the job position takes

87. place

Women representation in position

n/a

Average age of respondent by position

n/a

817. place

Nursery School Teacher Assistant

Education, Science & Research

150 - 329 EUR

88. place

Clinical Research Associate

Pharmaceutical Industry

430 - 1,191 EUR

87. place

Data scientist

Information Technology

345 - 1,289 EUR

86. place

.NET Programmer

Information Technology

352 - 1,308 EUR

1. place

Chief Executive Officer

Top Management

655 - 3,120 EUR

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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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