Mathematical Statistician - Federal Salaries of 2016
Pay Rates for "Mathematical Statistician"How much does a Mathematical Statistician in the federal government get paid? $116,016.65* *Based on the 2016 average.
Mathematical Statistician was the 140th most popular job in the U.S. Government in 2016, with 1,415 employed. The most common payscale was the general schedule payscale.
In 2016, the Food and Drug Administration hired the most employees titled Mathematical Statistics, with an average salary of $121,072.
Government Mathematical Statistics jobs are classified under the General Schedule (GS) payscale. The minimum paygrade for a Mathematical Statistics job is GS-6, and the highest paygrade that can be attained within this job series is GS-15. Remember that the starting and maximum yearly pay listed above reflect base pay only - your actual salary will be higher based on the Locality Pay Adjustment for the area in which you work.
Science, technology, engineering, and mathematics (STEM) professions fall under this job category. Due to the growing focus of them STEM fields, individuals in this job category tend to advance more quickly than employees in the other job categories. Jobs in this category are being added quickly and many organizations have trouble finding qualified individuals. Individuals in this job category typically recieve pormotions of 2 grade increases at a time until they reach GS-12.
Agencies that have hired a Mathematical Statistician
Mathematical Statistician Pay Distribution
The average pay for a Mathematical Statistician is $116,016.65. The highest paid Mathematical Statistician made $267,986 in 2016.
Common Mathematical Statistician Payscales
|Payscale||Number of Mathematical Statistics Employees|
|GS - General Schedule||1,150|
|RG - Code For Use By Hhs Only.||130|
|ZP - Scientific And Engineering Professional||57|
|RF - Code Is For Use By Hhs Only.||21|
|EI - Advisory Committee Member (other)||17|
|ES - Senior Executive Service||9|
|RS - Senior Biomedical Research Service||8|
|AD - Administratively Determined Rates, Not E||5|
|GM - Emp Covered By Pmrs Termination Provisns||4|
|ST - Scientific And Professional||4|
|SL - Senior Level Positions||3|
|IR - Irs Broadband Class And Pay System Pos||2|
|PG - Printing Office Grades||1|
|RA - Department Of Agriculture Positions||1|
|EE - Expert (other)||1|
|GG - Grades Similar To General Schedule||1|
|EF - Consultant (5 U.s.c. 3109)||1|
|Starting Paygrade:||$32,264.00 / year base pay at paygrade GS-6, Step 1|
|Maximum Paygrade:||$136,659.00 / year base pay at paygrade GS-15, Step 10|
|Category:||Professional and Scientific|
|Occupation Family:||1500 MATHEMATICAL SCIENCES GROUP|
Other Jobs at the GS-6 Paygrade
GS-6 is the starting paygrade for Mathematical Statistics jobs. Here are some other Federal Government jobs that can be held by employees at the GS-6 paygrade.
|Occupation||Occupation Category||Starting Paygrade||Maximum Paygrade|
|Electronics Technical||Technical and Medical Support||GS-1||GS-9|
|Equal Employment Opportunity||Administrative and Management||GS-4||GS-15|
|Transportation Industry Analysis||Administrative and Management||GS-4||GS-15|
|Health Aid and Technician||Technical and Medical Support||GS-1||GS-9|
|Audiovisual Production||Administrative and Management||GS-4||GS-15|
Average Mathematical Statistics Pay Trend from 2004 to 2016
In 2004, the average pay for a Mathematical Statistician was $90,908. Since then, the average pay has increased to $116,017 in 2016.
The information provided on these pages is sourced from the Office of Personnel Management (OPM) Enterprise Human Resources Integration (EHRI) dataset. Postal Service data is managed exclusively by the USPS . All information is displayed unmodified and as provided by the source agency.
Federal employee salaries are public information under open government laws (5 U.S.C. § 552). FederalPay provides this data in the interest of government transparency — employee data may not be used for commercial soliciting or vending of any kind. Learn more about the FederalPay Employees Dataset here.
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