Data Scientist Subject Matter Expert (SME)

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. 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.

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.