Mid Level Data Scientist
Washington, DC
- Pay
USD 130,000–145,000/yearLocation-specific pay — pay source
Salary 130,000 – 145,000 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 setup
- Unconfirmed
- Employment
Full-time — employment source
Employment type Full-Time
Read the full posting
What you’ll work on
Full postingRedhorse transforms the way government uses data and technology.
In this role, you will be at the forefront of modernizing national security missions by designing and deploying advanced machine learning models, custom algorithms, and data workflows across complex law enforcement, intelligence, investigative, and business datasets.
You will collaborate directly with government stakeholders to translate sophisticated data science discoveries into actionable, mission-critical decisions.
Lead and design machine learning, statistical analysis, and data analysis tasks across multiple projects of varying complexity.
Collaborate with internal and external government stakeholders to identify areas for improvement in workflows or systems.
From the employer’s posting
Redhorse transforms the way government uses data and technology. To support this vital mission, we are seeking an executive-level Mid-Level Data Scientist to support the National Security Branch (NSB) and executive-level priority programs.
In this role, you will be at the forefront of modernizing national security missions by designing and deploying advanced machine learning models, custom algorithms, and data workflows across complex law enforcement, intelligence, investigative, and business datasets. You will collaborate directly with government stakeholders to translate sophisticated data science discoveries into actionable, mission-critical decisions.
Redhorse transforms the way government uses data and technology. To support this vital mission, we are seeking an executive-level Mid-Level Data Scientist to support the National Security Branch (NSB) and executive-level priority programs. In this role, you will be at the forefront of modernizing national security missions by designing and deploying advanced machine learning models, custom algorithms, and data workflows across complex law enforcement, intelligence, investigative, and business datasets. You will collaborate directly with government stakeholders to translate sophisticated data science discoveries into actionable, mission-critical decisions. Key Responsibilities
Key Responsibilities Lead and design machine learning, statistical analysis, and data analysis tasks across multiple projects of varying complexity. Collaborate with internal and external government stakeholders to identify areas for improvement in workflows or systems.
Lead and design machine learning, statistical analysis, and data analysis tasks across multiple projects of varying complexity. Collaborate with internal and external government stakeholders to identify areas for improvement in workflows or systems. Design new approaches to handling, analyzing, and using large volumes of law enforcement, intelligence, investigative, and business data sets.
What you’ll bring
All qualificationsPreferred experience
- Bachelor’s or Master’s degree in Mathematics, Computer Science, Data Science, Physical Sciences, or a relevant analytical discipline.
- Experience applying the latest technologies and methodologies in data mining, predictive analytics, and machine learning to correlate disparate data sets and investigative events.
- Practical experience developing, training, and tuning both supervised and unsupervised machine learning models.
- Experience designing interactive BI dashboards and presentation-ready visual analytics for senior government leaders.
Qualification wording
Bachelor’s or Master’s degree in Mathematics, Computer Science, Data Science, Physical Sciences, or a relevant analytical discipline.
Experience applying the latest technologies and methodologies in data mining, predictive analytics, and machine learning to correlate disparate data sets and investigative events.
Practical experience developing, training, and tuning both supervised and unsupervised machine learning models.
Experience designing interactive BI dashboards and presentation-ready visual analytics for senior government leaders.
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 in Mathematics, Computer Science, Data Science, Physical Sciences, or a relevant analytical discipline. - Experience applying the latest technologies and methodologies in data mining, predictive analytics, and machine learning to correlate disparate data sets and investigative events.
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
- Develop custom data models, algorithms, and software code to optimize data search and retrieval processes. - Use modern tools and computer programming languages, including Python scripts, to collect, wrangle, and process data. - Design, test, and validate the quality, integrity, and performance of data and automated data processes.
- Experience applying the latest technologies and methodologies in data mining, predictive analytics, and machine learning to correlate disparate data sets and investigative events. - Advanced Python programming proficiency and clean code development utilizing common machine learning frameworks and data science libraries. - Advanced SQL and database management experience, including writing complex queries, optimizing database operations, and architecting basic ETL (Extract, Transform, Load) pipelines.
- Advanced Python programming proficiency and clean code development utilizing common machine learning frameworks and data science libraries. - Advanced SQL and database management experience, including writing complex queries, optimizing database operations, and architecting basic ETL (Extract, Transform, Load) pipelines. - Practical experience developing, training, and tuning both supervised and unsupervised machine learning models.
About Redhorsecorp
Now is a great time to join Redhorse Corporation.
In the employer’s words · Read in context
Job description
About the Role
Redhorse transforms the way government uses data and technology. To support this vital mission, we are seeking an executive-level Mid-Level Data Scientist to support the National Security Branch (NSB) and executive-level priority programs.
In this role, you will be at the forefront of modernizing national security missions by designing and deploying advanced machine learning models, custom algorithms, and data workflows across complex law enforcement, intelligence, investigative, and business datasets. You will collaborate directly with government stakeholders to translate sophisticated data science discoveries into actionable, mission-critical decisions.
Key Responsibilities
- Lead and design machine learning, statistical analysis, and data analysis tasks across multiple projects of varying complexity.
- Collaborate with internal and external government stakeholders to identify areas for improvement in workflows or systems.
- Design new approaches to handling, analyzing, and using large volumes of law enforcement, intelligence, investigative, and business data sets.
- Develop custom data models, algorithms, and software code to optimize data search and retrieval processes.
- Use modern tools and computer programming languages, including Python scripts, to collect, wrangle, and process data.
- Design, test, and validate the quality, integrity, and performance of data and automated data processes.
- Coordinate across functional teams to deploy predictive models and monitor operational outcomes.
- Analyze findings and present actionable, data-driven recommendations to executive leadership.
- Develop visualizations, infographics, and charts to communicate results and derived findings effectively to non-technical audiences.
Required Experience/Clearance
- 6 years of experience as a Data Scientist or equivalent data-centric role (e.g., Data Analyst, Data Engineer).
- 6 years of experience utilizing multiple programming languages and statistical packages, alongside modern dataset and Artificial Intelligence/Machine Learning (AI/ML) tools.
- 6 years of experience utilizing data systems to acquire, extract, and prepare data for research, exploration, or statistical analysis.
- 6 years of experience conducting exploratory data analysis to interpret complex data trends and anomalies.
- 6 years of experience cleaning, manipulating, munging, and sub-setting large datasets for analytical workflows.
- 6 years of demonstrated experience communicating technical analysis and findings to non-technical stakeholders using summary visualizations and tables.
- Demonstrated ability to learn rapidly and operate effectively both independently and within cross-functional team environments.
- Ability to obtain and maintain the required U.S. Government Security Clearance suitable for National Security Branch (NSB) programs.
Desired Experience
- Bachelor’s or Master’s degree in Mathematics, Computer Science, Data Science, Physical Sciences, or a relevant analytical discipline.
- Experience applying the latest technologies and methodologies in data mining, predictive analytics, and machine learning to correlate disparate data sets and investigative events.
- Advanced Python programming proficiency and clean code development utilizing common machine learning frameworks and data science libraries.
- Advanced SQL and database management experience, including writing complex queries, optimizing database operations, and architecting basic ETL (Extract, Transform, Load) pipelines.
- Practical experience developing, training, and tuning both supervised and unsupervised machine learning models.
- Experience designing interactive BI dashboards and presentation-ready visual analytics for senior government leaders.
- Experience using version control systems (such as Git) to manage collaborative code repositories.
Salary
130,000 – 145,000 USD per year
Employment type
Full-Time
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary 130,000 – 145,000 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
- Demonstrated ability to learn rapidly and operate effectively both independently and within cross-functional team environments. - Ability to obtain and maintain the required U.S. Government Security Clearance suitable for National Security Branch (NSB) programs. Desired Experience
More source context
130,000 – 145,000 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.
- Status in our records
- Active
- First seen by us
- Oct 7, 2026
- Recorded sightings
- 1
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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