Information Technology

Salary for position Data scientist in Philippines

Gross salary in Philippines is

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80% of people earn:

387K - 2.2M PHP

10% earn less lthan 387K PHP

10% earns more than 2.2M PHP

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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 Philippines earn between 387,048 PHP and 2,218,632 PHP annually gross.

10% of employees earn less than 387,048 PHP and 10% of people earn more than 2,218,632 PHP.

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

13. place

Women representation in position

n/a

Average age of respondent by position

n/a

817. place

Nursery School Teacher Assistant

Education, Science & Research

146,040 - 317,748 PHP

14. place

Technical Director

Top Management

359,796 - 2,150,976 PHP

13. place

Data scientist

Information Technology

387,048 - 2,218,632 PHP

12. place

Managing Director

Top Management

412,644 - 2,125,404 PHP

1. place

Country Manager/Director

Top Management

377,100 - 3,349,296 PHP

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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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