Data Scientist Subject Matter Expert (SME)
Job description
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
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.
- 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.
Skills mentioned

At Redhorse Corporation, our culture is built on a foundation of smart people generating great ideas for shared success. We are a collective of problem solvers, motivators, and achievers dedicated to making a tangible difference. Our core belief is in the power of our people; their intelligence and drive are our greatest assets. We foster an environment where collaboration is key, enabling us to deliver impactful results that distinguish both our clients and ourselves. Our history of success is a direct reflection of our sharp, forward-thinking employees. We champion innovative ideas, believing that good people are the source of outstanding concepts. Passion and inspiration are the fuels that drive our pursuit of results, cultivated within a sincere and creative atmosphere. We embrace a collaborative methodology to tackle challenging problems, encouraging open dialogue that flows seamlessly between employees and leadership, free of barriers. Our mission is to transform the way government interacts with and utilizes data and technology. We are customer-centric, forming partnerships grounded in trust and transparency that allow us to comprehend client problems on a profound level. We are mission-focused, adept at navigating complex issues and providing the right solutions to help our clients make meaningful decisions, mitigate risks, and overcome challenges with next-level ideas. Since our inception in 2008, we have been committed to providing management and technology consulting and engineering services. We partner with our government and Fortune 500 clients to address their mission, business, security, compliance, and operational challenges, both now and into the future. Our approach combines talented and passionate individuals, proven processes, and the application and integration of technology and data science to create distinct customer value. We strive to do meaningful work in support of our nation's needs, provide an excellent work environment for our employees, and make a positive impact in the communities where we operate. We are committed to Equal Employment Opportunity and to attracting, retaining, developing, and promoting the most qualified individuals.
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