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Exploitation Scientist / Data Scientist

Reads like a ML Engineer role: putting models into production.

Pay
Pay not listedSimilar roles state $166K–$240K
Work setting
Not stated
Employment
Not stated

Before you apply

Work authorization
US citizens onlyAll Riverside Research opportunities require US Citizenship

What you’ll work on

Full posting
  • Lead multi-sensor exploitation across EO, IR, SAR, and multispectral collections

  • Develop analytic algorithms and models for detection, classification, and change analysis

  • Integrate ML/AI capabilities into exploitation pipelines

  • Prepare and deliver technical briefings and reports to senior customers

  • Provide direct mentorship to analysts, data scientists, and junior staff

From the employer’s posting
Lead multi-sensor exploitation efforts across EO, IR, SAR, multispectral, and specialized collections.
Develop advanced analytic algorithms and models for detection, classification, change analysis, and data fusion.
Integrate ML/AI capabilities into exploitation pipelines, coordinating with engineering, R&D, and mission partners.
Prepare and deliver technical briefings, analytical reports, and capability demonstrations to senior customers.
Provide direct mentorship to analysts, data scientists, and junior exploitation personnel.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree or higher in Data Science, Remote Sensing, Image Science, Physics, Electrical Engineering, a related field, or equivalent experience.
  • 7+ years of experience in GEOINT exploitation, analytic modeling, or advanced image science.
  • Strong proficiency in Python, MATLAB, or similar analytical programming languages.
  • Experience developing machine learning or statistical models for imagery exploitation or intelligence workflows.
  • Hands-on expertise with common exploitation tools, including ENVI/IDL, ArcGIS, ERDAS, GDAL, or relevant sensor-specific toolsets.
  • Demonstrated ability to lead technical teams and guide analytic development.

Preferred experience

  • Experience with multi-sensor fusion, hyperspectral analysis, or advanced phenomenology-driven modeling.
  • Familiarity with cloud environments, data orchestration frameworks, or large-scale data architectures.
  • Experience supporting R&D, prototype evaluation, or system integration efforts.
  • Excellent communication skills and the ability to engage with senior customers.
Qualification wording
Bachelor’s degree or higher in Data Science, Remote Sensing, Image Science, Physics, Electrical Engineering, a related field, or equivalent experience.
7+ years of experience in GEOINT exploitation, analytic modeling, or advanced image science.
Strong proficiency in Python, MATLAB, or similar analytical programming languages.
Experience developing machine learning or statistical models for imagery exploitation or intelligence workflows.
Hands-on expertise with common exploitation tools, including ENVI/IDL, ArcGIS, ERDAS, GDAL, or relevant sensor-specific toolsets.
Demonstrated ability to lead technical teams and guide analytic development.
Experience with multi-sensor fusion, hyperspectral analysis, or advanced phenomenology-driven modeling.
Familiarity with cloud environments, data orchestration frameworks, or large-scale data architectures.
Experience supporting R&D, prototype evaluation, or system integration efforts.
Excellent communication skills and the ability to engage with senior customers.
Education & alternatives
Required Qualifications - Bachelor’s degree or higher in Data Science, Remote Sensing, Image Science, Physics, Electrical Engineering, a related field, or equivalent experience. - 7+ years of experience in GEOINT exploitation, analytic modeling, or advanced image science.

Posting record

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Status in our records
Live
First seen by us
Oct 4, 202632 days ago
Recorded sightings
33
Last seen by us
Nov 5, 2026
Employer says posted
Oct 2, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 32

Similar jobs usually come down between day 6 and day 70.

Well past Riverside Research Institute’s usual: its jobs come down by about day 8.

From 4,442 similar postings that came down, and 5 of Riverside Research Institute’s. Coming down is not always a hire.

Riverside Research Institute is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
Hiring record

See how this role fits your experience

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  • MATLAB
  • Python
Where the posting names them
- 7+ years of experience in GEOINT exploitation, analytic modeling, or advanced image science. - Strong proficiency in Python, MATLAB, or similar analytical programming languages. - Experience developing machine learning or statistical models for imagery exploitation or intelligence workflows.

Your next step

Complete your application on careers-riversideresearch.icims.com. The employer’s form will show what is required.

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 625, the most 1,094, and the latest week had 876.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Riverside Overview

Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country’s most challenging technical problems.    All Riverside Research opportunities require U.S. Citizenship.  

Position Overview

Riverside Research is seeking an experienced Exploitation Scientist / Data Scientist to lead the development, integration, and delivery of advanced GEOINT exploitation capabilities in Falls Church VA. This role combines deep expertise in sensor phenomenology, data science, analytical modeling, and exploitation tradecraft. The Senior Exploitation Scientist will guide multi-sensor workflows, design new analytic methods, mentor junior staff, and collaborate directly with government partners to enhance intelligence production for DoD and Intelligence Community missions.

Responsibilities

  • Lead multi-sensor exploitation efforts across EO, IR, SAR, multispectral, and specialized collections.

  • Develop advanced analytic algorithms and models for detection, classification, change analysis, and data fusion.

  • Apply data science methodologies—including statistical modeling, machine learning, and automation—to improve exploitation accuracy and efficiency.

  • Perform deep-dive image science analyses, sensor performance evaluations, and phenomenology-driven characterization.

  • Design and refine data workflows, ensuring reproducible processing, metadata consistency, and high-quality data governance.

  • Integrate ML/AI capabilities into exploitation pipelines, coordinating with engineering, R&D, and mission partners.

  • Prepare and deliver technical briefings, analytical reports, and capability demonstrations to senior customers.

  • Lead the development of SOPs, analytic standards, and documentation for multi-mission exploitation operations.

  • Provide direct mentorship to analysts, data scientists, and junior exploitation personnel.

  • Coordinate with collection managers, system developers, and intelligence stakeholders to optimize tasking strategies and analytical impact.

  • Ensure timely delivery of mission-critical GEOINT products supporting operational and strategic decision-making.

  • Perform other duties as assigned.

Qualifications

Required Qualifications

  • Bachelor’s degree or higher in Data Science, Remote Sensing, Image Science, Physics, Electrical Engineering, a related field, or equivalent experience.

  • 7+ years of experience in GEOINT exploitation, analytic modeling, or advanced image science.

  • Strong proficiency in Python, MATLAB, or similar analytical programming languages.

  • Experience developing machine learning or statistical models for imagery exploitation or intelligence workflows.

  • Hands-on expertise with common exploitation tools, including ENVI/IDL, ArcGIS, ERDAS, GDAL, or relevant sensor-specific toolsets.

  • Demonstrated ability to lead technical teams and guide analytic development.

  • Strong understanding of DoD/IC data standards, mission priorities, and production workflows.

  • Active TS or higher security clearance.

Desired Qualifications

  • Experience with multi-sensor fusion, hyperspectral analysis, or advanced phenomenology-driven modeling.

  • Familiarity with cloud environments, data orchestration frameworks, or large-scale data architectures.

  • Experience supporting R&D, prototype evaluation, or system integration efforts.

  • GEOINT-related certifications or recognized technical publications.

  • Excellent communication skills and the ability to engage with senior customers.

Global Comp

This represents the typical compensation range for this position based on experience, location and other factors.

Closing Statement

  Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring.  Riverside offers comprehensive compensation and benefit packages to our employees. Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran’s status or any other status legally protected by applicable federal, state, and local law.
Source details

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Pay

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Location & working pattern

Fairfax, VA

Required Qualifications - Bachelor’s degree or higher in Data Science, Remote Sensing, Image Science, Physics, Electrical Engineering, a related field, or equivalent experience. - 7+ years of experience in GEOINT exploitation, analytic modeling, or advanced image science.
Work authorization
Riverside Overview Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country’s most challenging technical problems. All Riverside Research opportunities require U.S. Citizenship. Position Overview Riverside Research is seeking an experienced Exploitation Scientist / Data Scientist to lead the development, integration, and delivery of advanced GEOINT exploitation capabilities in Falls Church VA. This role combines deep expertise in sensor phenomenology, data science, analytical modeling, and exploitation tradecraft. The Senior Exploitation Scientist will guide multi-sensor workflows, design new analytic methods, mentor junior staff, and collaborate directly with government partners to enhance intelligence production for DoD and Intelligence Community missions.
More source context
- Strong understanding of DoD/IC data standards, mission priorities, and production workflows. - Active TS or higher security clearance. Desired Qualifications

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