Data Sciences Salaries
2 verified profilesAverage salary is ₹16.0lakhs.
Employees who know Data Sciences earn an average of ₹16.0lakhs, mostly ranging from ₹14.8lakhs to ₹19.9lakhs based on 2 profiles.
Similar Searches
Nexant India
Mumbai | 7yrs | CTC:₹12.0lakhs | |||
Microsoft
Hyderabad | 16yrs | CTC:₹20.0lakhs |
100% real time & verified!
How much do Data Sciences employees make?
Employees who know Data Sciences earn an average of ₹16.0lakhs, mostly ranging from ₹14.8lakhs per year to ₹19.9lakhs per year based on 2 profiles. The top 10% of employees earn more than ₹19.1lakhs per year.
What is the average salary of Data Sciences?
Average salary of an employee who know Data Sciences is ₹16.0lakhs.
What is the median salary offered who know Data Sciences?
The median salary approximately calculated from salary profiles measured so far is ₹16.0lakhs per year.
How is the age distributed among employees who know Data Sciences?
This group has a predominantly younger workforce. 50% of employees lie between 31-36 yrs . 50% of the employees fall in the age group of 36-41 yrs .
How much do Data Sciences employees make?
Employees who know Data Sciences earn an average of ₹16.0lakhs, mostly ranging from ₹14.8lakhs per year to ₹19.9lakhs per year based on 2 profiles. The top 10% of employees earn more than ₹19.1lakhs per year.
What is the average salary of Data Sciences?
Average salary of an employee who know Data Sciences is ₹16.0lakhs.
What is the median salary offered who know Data Sciences?
The median salary approximately calculated from salary profiles measured so far is ₹16.0lakhs per year.
How is the age distributed among employees who know Data Sciences?
This group has a predominantly younger workforce. 50% of employees lie between 31-36 yrs . 50% of the employees fall in the age group of 36-41 yrs .
| 10-20 lakhs | 10-20 lakhs Percentage : 50 |
|---|---|
| 20-30 lakhs | 20-30 lakhs Percentage : 50 |
| 31-36 yrs | 31-36 yrs Percentage : 50 |
|---|---|
| 36-41 yrs | 36-41 yrs Percentage : 50 |
Browse by Titles
Software Engineer
Business Analyst
Product Manager
Engineering Manager
Data Scientist
UX Designer
Program Manager
Account Manager
Devops Engineer
