Scientist Psychometrician
1 652 348 ₽ (RUB)/yr
794,40 ₽ (RUB)/hr
50 727 ₽ (RUB)/yr
The average scientist psychometrician gross salary in Nizhny Novgorod, Russian Federation is 1 652 348 ₽ or an equivalent hourly rate of 794 ₽. This is 6% higher (+87 302 ₽) than the average scientist psychometrician salary in Russian Federation. In addition, they earn an average bonus of 50 727 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level scientist psychometrician (1-3 years of experience) earns an average salary of 1 175 766 ₽. On the other end, a senior level scientist psychometrician (8+ years of experience) earns an average salary of 2 071 183 ₽.
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ERI’s compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
1 967 406 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Scientist Psychometrician will increase 19 % over 5 years.
This chart displays the highest level of education for:
Scientist Psychometrician, the majority at 100% with masters.
Typical Field of Study: Counselor Education/School Counseling and Guidance Services
See how education can impact your salaryThe cost of living in Nizhny Novgorod, Russian Federation is 7% less than the average cost of living in Russian Federation. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
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This page is a promotion for SalaryExpert’s Assessor Platform and is not intended for professional use.
Professionals should subscribe to SalaryExpert’s Assessor Platform.
ERI’s compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.