Data Scientist Subject Matter Expert (SME) with Security Clearance

Redhorse Corporation; Washington (District of Columbia); Presencial; USD 185 000 - 200 000; Tempo integral

Resumo da oferta

Redhorse Corporation is seeking an executive-level Data Scientist SME to provide high-impact advisory and technical services to the National Security Branch and senior agency programs. You will design advanced machine learning architectures, novel algorithms, and exploratory data pipelines across high-stakes law enforcement, intelligence, and investigative datasets.

Lead cross-disciplinary teams, translate complex analyses into actionable insights for senior leaders, and communicate findings

Qualificações

• 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 AI/ML frameworks.
• 8 years of experience utilizing data systems to acquire, extract, and structure data for research and statistical analysis.
• 8 years of experience analyzing complex datasets using exploratory data analysis techniques.
• 8 years of experience cleaning and sub-setting large-scale data.
• 8 years of experience communicating findings to non-technical audiences with visualizations.
• Active Top Secret/SCI with CI Poly.

Responsabilidades

• Lead and design machine learning, statistical analysis, and complex data science projects across multiple workstreams.
• Collaborate with government stakeholders to diagnose workflows and modernization strategies.
• Architect methodologies to ingest, analyze, and exploit large data volumes.
• Develop models, data structures, and software to optimize enterprise search and data discovery.
• Use Python to build production-ready scripts for data collection and processing.
• Design and validate data quality frameworks and automated pipelines.
• Coordinate across teams to deploy predictive models and assess impact.
• Analyze multi-source outputs and present actionable recommendations to leadership.
• Develop visualizations and executive summaries to communicate findings.

Conhecimentos

Data science leadership

Python programming

Machine learning

Stakeholder communication

Analytical thinking

Formação académica

Bachelor’s or Master’s degree in Mathematics, Computer Science, Data Science, Physical Science, or related quantitative discipline

Ferramentas

AI/ML frameworks

Geospatial tools

Big data platforms

Descrição da oferta de emprego

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.

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-set 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.

$185,000 - $200,000 a 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 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.