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U.S. Federal Government (non-Defense) / Securities and Exchange Commission / Data Science Series

Job-title file

Data Science Series at Securities and Exchange Commission, U.S. Federal Government

Collect and analyze data to inform decisions, produce reports, and identify trends.

4 employees hold this title in Securities and Exchange Commission. Median total compensation for the role is $237,596, below the department median of $253,437.

Employees
4
Total payroll
$982.2K
Role median
$237,596
Agency median
$253,437
Comparison
Below

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This role across U.S. Federal Government (non-Defense)

Data Science Series is held in 39 U.S. Federal Government (non-Defense) departments. In Securities and Exchange Commission, the median of $237,596 ranks #2 of 39.

Highest-paying departments for this role

Median total compensation for the Data Science Series role in other U.S. Federal Government (non-Defense)departments (highest first). Each bar links to that department’s page for this role.

Record list

Employees with this title

Page 1

Mark Velsko

Data Science Series/Securities and Exchange Commission

2026 total comp
$291,101
Sub-department
Securities and Exchange Commission
Base pay
$290,601
Overtime
$0
Other pay
$500
Benefits
$0
Total compensation
$291,101
Pay grade
16
Work city
Boston
Work state
Massachusetts
Middle name
B

Source-specific fields

Adjusted Basic Pay (incl. locality)
$290,601
Agency Code (OPM)
SE
Agency Sub-element Code (OPM)
SE00
Basic Pay (before locality)
$219,189
Duty Station Code
250120025
Duty Station State
MA
Length of Service (Years)
22
Occupation Code (OPM)
1560

At Securities and Exchange Commission, Mark Velsko serves as a Data Science Series based in Boston, Massachusetts. Their 2026 pay totaled $291,101. They are classified at grade 16.

Stephen Keller

Data Science Series/Securities and Exchange Commission

2026 total comp
$246,788
Sub-department
Securities and Exchange Commission
Base pay
$246,788
Overtime
$0
Other pay
$0
Benefits
$0
Total compensation
$246,788
Pay grade
16
Work city
Washington
Work state
District of Columbia
Middle name
Frederick

Source-specific fields

Adjusted Basic Pay (incl. locality)
$246,788
Agency Code (OPM)
SE
Agency Sub-element Code (OPM)
SE00
Basic Pay (before locality)
$184,253
Duty Station Code
110010001
Duty Station State
DC
Length of Service (Years)
17
Occupation Code (OPM)
1560

At Securities and Exchange Commission, Stephen Keller serves as a Data Science Series based in Washington, District of Columbia. Their 2026 pay totaled $246,788. They are classified at grade 16.

Parth Venkat

Data Science Series/Securities and Exchange Commission

2026 total comp
$228,403
Sub-department
Securities and Exchange Commission
Base pay
$228,403
Overtime
$0
Other pay
$0
Benefits
$0
Total compensation
$228,403
Pay grade
14
Work city
Washington
Work state
District of Columbia
Middle name
Ramaman

Source-specific fields

Adjusted Basic Pay (incl. locality)
$228,403
Agency Code (OPM)
SE
Agency Sub-element Code (OPM)
SE00
Basic Pay (before locality)
$170,526
Duty Station Code
110010001
Duty Station State
DC
Length of Service (Years)
16
Occupation Code (OPM)
1560

At Securities and Exchange Commission, Parth Venkat serves as a Data Science Series based in Washington, District of Columbia. Their 2026 pay totaled $228,403. They are classified at grade 14.

Manish Kola

Data Science Series/Securities and Exchange Commission

2026 total comp
$215,939
Sub-department
Securities and Exchange Commission
Base pay
$215,939
Overtime
$0
Other pay
$0
Benefits
$0
Total compensation
$215,939
Pay grade
14
Work city
Washington
Work state
District of Columbia

Source-specific fields

Adjusted Basic Pay (incl. locality)
$215,939
Agency Code (OPM)
SE
Agency Sub-element Code (OPM)
SE00
Basic Pay (before locality)
$161,221
Duty Station Code
110010001
Duty Station State
DC
Length of Service (Years)
2
Occupation Code (OPM)
1560

Manish Kola works as a Data Science Series for Securities and Exchange Commission based in Washington, District of Columbia. Manish earned $215,939 in 2026. Their pay grade is 14.