Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Data Scientist Subject Matter Expert (SME)
Washington, DC
Live, first seen by us 28 days ago- Pay
USD 185,000–200,000/yearLocation-specific pay — pay source
Salary 185,000 – 200,000 USD per year The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.
Read the full posting- Work setting
On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-Time
Employment type in the employer’s posting: Full-Time
From the employer’s posting
What you’ll work on
Full postingRedhorse transforms the way government uses data and technology.
In this role, you will serve as the principal technical authority designing advanced machine learning architectures, novel algorithms, and exploratory data pipelines across high-stakes law enforcement, intelligence, and investigative datasets.
Lead machine learning, statistical analysis, and data science projects across multiple workstreams
Design methodologies to ingest and analyze large law enforcement and intelligence datasets
Build Python scripts for automated data collection, cleaning, and processing
Design and validate data quality frameworks and automated verification pipelines
Deliver actionable recommendations and executive summaries to senior leadership
From the employer’s posting
Redhorse transforms the way government uses data and technology. To support this mission, we are seeking an executive-level Data Scientist Subject Matter Expert (SME) to provide high-impact advisory and technical services to the National Security Branch (NSB) and senior executive priority programs.
In this role, you will serve as the principal technical authority designing advanced machine learning architectures, novel algorithms, and exploratory data pipelines across high-stakes law enforcement, intelligence, and investigative datasets. You will partner directly with senior government stakeholders to turn massive, disparate data environments into decisive operational advantages, delivering high-level briefings, interactive data visualizations, and robust analytical solutions.
Lead and design machine learning, statistical analysis, and complex data science projects across multiple workstreams.
Architect innovative methodologies to ingest, analyze, and exploit large volumes of law enforcement, intelligence, investigative, and business data.
Utilize programming languages such as Python to build production-ready scripts for automated data collection, cleaning, and processing.
Design, test, and validate data quality frameworks and automated verification pipelines to ensure analytical integrity.
Analyze multi-source data outputs and deliver clear, actionable recommendations to senior agency leadership.
What you’ll bring
All qualificationsPreferred experience
- Bachelor’s or Master’s degree from an accredited college or university in Mathematics, Computer Science, Data Science, Physical Science, or a related quantitative discipline.
- 8 years of experience applying cutting-edge data mining, machine learning, and predictive analytics techniques to correlate disparate events and multi-source datasets.
Qualification wording
Bachelor’s or Master’s degree from an accredited college or university in Mathematics, Computer Science, Data Science, Physical Science, or a related quantitative discipline.
8 years of experience applying cutting-edge data mining, machine learning, and predictive analytics techniques to correlate disparate events and multi-source datasets.
Education & alternatives
We encourage all candidates who meet the basic requirements to apply, even if you do not have any of the following experience: - Bachelor’s or Master’s degree from an accredited college or university in Mathematics, Computer Science, Data Science, Physical Science, or a related quantitative discipline. - 8 years of experience applying cutting-edge data mining, machine learning, and predictive analytics techniques to correlate disparate events and multi-source datasets.
About Redhorsecorp
Now is a great time to join Redhorse Corporation.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 7, 202628 days ago
- Recorded sightings
- 29
- Last seen by us
- Nov 4, 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
Time since we first saw it
Day 28
Similar jobs usually come down between day 7 and day 55.
From 10,000 similar postings that came down. Coming down is not always a hire.
Redhorsecorp is hiring
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
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- Python
Where the posting names them
- Develop custom mathematical models, data structures, algorithms, and specialized software code to optimize enterprise search and data discovery. - Utilize programming languages such as Python to build production-ready scripts for automated data collection, cleaning, and processing. - Design, test, and validate data quality frameworks and automated verification pipelines to ensure analytical integrity.
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About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
About the Organization
Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.
About the Role
Redhorse transforms the way government uses data and technology. To support this mission, we are seeking an executive-level Data Scientist Subject Matter Expert (SME) to provide high-impact advisory and technical services to the National Security Branch (NSB) and senior executive priority programs.
In this role, you will serve as the principal technical authority designing advanced machine learning architectures, novel algorithms, and exploratory data pipelines across high-stakes law enforcement, intelligence, and investigative datasets. You will partner directly with senior government stakeholders to turn massive, disparate data environments into decisive operational advantages, delivering high-level briefings, interactive data visualizations, and robust analytical solutions.
Key Responsibilities
- Lead and design machine learning, statistical analysis, and complex data science projects across multiple workstreams.
- Collaborate directly with internal and external government stakeholders to diagnose system workflows and implement high-impact modernization strategies.
- Architect innovative methodologies to ingest, analyze, and exploit large volumes of law enforcement, intelligence, investigative, and business data.
- Develop custom mathematical models, data structures, algorithms, and specialized software code to optimize enterprise search and data discovery.
- Utilize programming languages such as Python to build production-ready scripts for automated data collection, cleaning, and processing.
- Design, test, and validate data quality frameworks and automated verification pipelines to ensure analytical integrity.
- Coordinate across multi-disciplinary engineering and functional teams to deploy predictive models and evaluate operational impact.
- Analyze multi-source data outputs and deliver clear, actionable recommendations to senior agency leadership.
- Develop intuitive data visualizations, infographics, dashboards, and executive summaries to communicate technical findings to non-technical leaders.
Required Experience/Clearance
- 10 years of experience as a Data Scientist, Data Engineer, or Developer acting as a technical development lead for collecting, cleaning, and analyzing massive datasets to build predictive models.
- 10 years of experience in software development and programming across multiple languages, statistical packages, dataset manipulation tools, and Artificial Intelligence/Machine Learning (AI/ML) frameworks.
- 8 years of experience utilizing data systems to acquire, extract, and structure data for research, exploration, and statistical analysis.
- 8 years of experience analyzing, interpreting, and discovering patterns in complex datasets using exploratory data analysis techniques.
- 8 years of experience cleaning, manipulating, munging, and sub-setting large-scale structured and unstructured data.
- 8 years of experience communicating technical findings, risk assessments, and analytical results to non-technical audiences using summary visualizations and tables.
- Demonstrated ability to rapidly learn emerging technologies and operate effectively both independently and in mission-critical team environments.
- Active Top Secret/SCI with CI Poly.
Desired Experience
- Bachelor’s or Master’s degree from an accredited college or university in Mathematics, Computer Science, Data Science, Physical Science, or a related quantitative discipline.
- 8 years of experience applying cutting-edge data mining, machine learning, and predictive analytics techniques to correlate disparate events and multi-source datasets.
- Natural Language Processing (NLP) expertise, including large-scale document mining and parsing unstructured textual data into structured databases.
- Product-agnostic database and enterprise search administration for large-scale data exploitation.
- Advanced statistical modeling, hypothesis testing, and time-series trend analysis capabilities.
- Demonstrated adaptability and problem-solving skills in resource-constrained environments with limited access to enterprise cloud infrastructure or commercial-scale compute.
- Specialized experience in Geospatial analysis, Computer Vision (CV), or multi-source Sensor Fusion.
We encourage all candidates who meet the basic requirements to apply, even if you do not have any of the following experience:
Salary
185,000 – 200,000 USD per year
The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.
Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent-Acquisition@redhorsecorp.com
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
Employment type
Full-Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary 185,000 – 200,000 USD per year The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.
- Location & working pattern
Washington, DC
Working pattern and location restrictions need checking in the full posting.
- Work authorization
185,000 – 200,000 USD per year The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable. Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.