Decision Trees Salaries
140 verified profilesAverage salary is ₹25.5lakhs.
Employees who know Decision Trees earn an average of ₹25.5lakhs, mostly ranging from ₹16.8lakhs to ₹83.4lakhs based on 140 profiles.
| 👨💻 Male | ₹21lakhs Male Average Salary : ₹ 21 lakhs |
|---|---|
| 👩💻 Female | ₹17lakhs Female Average Salary : ₹ 17 lakhs |
Similar Searches
100% real time & verified!
How much do Decision Trees employees make?
Employees who know Decision Trees earn an average of ₹25.5lakhs, mostly ranging from ₹16.8lakhs per year to ₹83.4lakhs per year based on 140 profiles. The top 10% of employees earn more than ₹39.0lakhs per year.
What is the average salary of Decision Trees?
Average salary of an employee who know Decision Trees is ₹25.5lakhs.
What is the highest salary offered who know Decision Trees?
Highest reported salary offered who know Decision Trees is ₹236.1lakhs. The top 10% of employees earn more than ₹39.0lakhs per year. The top 1% earn more than a whopping ₹83.4lakhs per year.
What are the most common skills required who know Decision Trees?
100% of employees have skills in decision trees . 0% also know sql . 0% also know machine learning .
What are the highest paying jobs who know Decision Trees?
The top 5 highest paying jobs who know Decision Trees with reported salaries are:
associate - ₹39.0lakhs per year
lead data scientist - ₹34.0lakhs per year
senior data scientist - ₹28.0lakhs per year
senior manager - ₹26.0lakhs per year
assistant vice president - ₹26.0lakhs per year
What is the median salary offered who know Decision Trees?
The median salary approximately calculated from salary profiles measured so far is ₹20.6lakhs per year.
How is the age distributed among employees who know Decision Trees?
43% of employees lie between 26-31 yrs . 31% of the employees fall in the age group of 31-36 yrs .
What qualifications do employees have who know Decision Trees?
41% hold a PostGraduate degree. 16% hold a Graduate degree.
Which schools do employees working who know Decision Trees went to?
20% of employees studied at Indian Institute of Technology (IIT) . 6% studied at Calcutta University .
How much do Decision Trees employees make?
Employees who know Decision Trees earn an average of ₹25.5lakhs, mostly ranging from ₹16.8lakhs per year to ₹83.4lakhs per year based on 140 profiles. The top 10% of employees earn more than ₹39.0lakhs per year.
What is the average salary of Decision Trees?
Average salary of an employee who know Decision Trees is ₹25.5lakhs.
What is the highest salary offered who know Decision Trees?
Highest reported salary offered who know Decision Trees is ₹236.1lakhs. The top 10% of employees earn more than ₹39.0lakhs per year. The top 1% earn more than a whopping ₹83.4lakhs per year.
What are the most common skills required who know Decision Trees?
100% of employees have skills in decision trees . 0% also know sql . 0% also know machine learning .
What are the highest paying jobs who know Decision Trees?
The top 5 highest paying jobs who know Decision Trees with reported salaries are:
associate - ₹39.0lakhs per year
lead data scientist - ₹34.0lakhs per year
senior data scientist - ₹28.0lakhs per year
senior manager - ₹26.0lakhs per year
assistant vice president - ₹26.0lakhs per year
What is the median salary offered who know Decision Trees?
The median salary approximately calculated from salary profiles measured so far is ₹20.6lakhs per year.
How is the age distributed among employees who know Decision Trees?
43% of employees lie between 26-31 yrs . 31% of the employees fall in the age group of 31-36 yrs .
What qualifications do employees have who know Decision Trees?
41% hold a PostGraduate degree. 16% hold a Graduate degree.
Which schools do employees working who know Decision Trees went to?
20% of employees studied at Indian Institute of Technology (IIT) . 6% studied at Calcutta University .
- 10-20 lakhs
- 20-30 lakhs
- 30-40 lakhs
- 40-50 lakhs
- > 50 lakhs
- 21-26 yrs
- 26-31 yrs
- 31-36 yrs
- 36-41 yrs
- > 41 yrs
Browse by Titles

Software Engineer

Business Analyst

Product Manager

Engineering Manager

Data Scientist

UX Designer

Program Manager

Account Manager

Devops Engineer















