Data Scientist

Radiance Technologies, Inc.; Colorado Springs (CO); Hybrid; USD 150,000 - 175,000; Full time

Job summary

Radiance Technologies, a rapidly growing employee-owned company, seeks an experienced Data Scientist to support USASMDC at Peterson Space Force Base in Colorado. The role focuses on advanced data analytics, data strategies, and visualizations to support national security missions, with emphasis on CIF/CIP data curation.

The position requires a TS/SCI clearance, citizenship, and extensive experience in data analysis, NLP, ML, and big-data environments, working across diverse data sources in a

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another relevant STEM discipline or equivalent experience.
• Eight (8) or more years of experience performing intelligence analysis, data analysis, or closely related work.
• Eleven (11) years of task-related experience may be substituted for a bachelor's degree.
• U.S. Citizenship.
• Active Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance.
• Experience with AWS or a similar cloud computing provider.
• Demonstrated experience solving problems using structured and unstructured data.
• Demonstrated experience applying statistical analysis and data visualization techniques.
• Demonstrated knowledge of computer science concepts, data architecture, intelligence practices, and managing data in big-data environments.
• Experience performing complex data analysis and database queries.

Responsibilities

• Design and develop methods, processes, and systems to consolidate, integrate, and analyze structured and unstructured data.
• Develop and apply advanced software programs, algorithms, query techniques, models, and automated processes to cleanse, integrate, and evaluate datasets.
• Develop and execute complex database queries across multiple databases and Application Programming Interfaces using Python and other applicable programming languages.
• Analyze requirements and evaluate technologies supporting data science capabilities, including Natural Language Processing, Machine Learning, predictive modeling, statistical analysis, and hypothesis testing.
• Develop and implement data strategies using diverse data sources to support quantitative and qualitative content analytics.
• Incorporate existing NRO‑and NGA‑developed AI-enabled automated collection strategies and Automated Target Recognition (ATR) models using Computer Vision (CV).
• Collaborate across multidisciplinary teams to integrate diverse data sources, including SIGINT, GEOINT, All-source, and Targeting data.
• Contribute to the development of new analytical tools, algorithms, and data science capabilities across the enterprise.
• Identify meaningful insights, interpret analytical results, and communicate findings and recommendations to Government and contractor stakeholders.
• Support data curation in support of the Defense Intelligence Enterprise (DIE) Common Intelligence Feed (CIF) and data visualization supporting the Common Intelligence Picture (CIP).
• Develop analytical techniques to improve organizational performance and solve complex mission challenges.
• Maintain awareness of emerging data analytics, artificial intelligence, and big-data technologies.

Skills

Data analysis

Structured/unstructured data

Python

AWS

NLP

Machine Learning

Education

Bachelor's degree in Computer Science or related field

Tools

Python

AWS

SQL

Pandas

Tableau

Job description

Radiance Technologies, a rapidly growing employee-owned company, is seeking an experienced Data Scientist to support the U.S. Army Space and Missile Defense Command (USASMDC) at Peterson Space Force Base, Colorado. This position supports a customer-funded, one-year effort with an anticipated period of performance from September 1, 2026, through August 31, 2027. The selected candidate will apply advanced data analytics techniques to support national security missions by researching and analyzing structured and unstructured data, developing complex database queries and analytical tools, and transforming data into actionable insights. The Data Scientist will develop and implement data strategies using various data sources to support quantitative and qualitative content analytics and will apply knowledge of computer science concepts, data architecture, intelligence practices, and big-data environments. Working as part of a multi-disciplinary team, the Data Scientist will collaborate with Government and contractor personnel to integrate diverse data sources, contribute to new analytical capabilities across the enterprise, solve complex mission challenges, and communicate technical findings, recommendations, and insights to both technical and non-technical stakeholders. Particular emphasis will be placed on data curation in support of the Defense Intelligence Enterprise (DIE) Common Intelligence Feed (CIF) and data visualization in support of the Common Intelligence Picture (CIP).

Duties and Responsibilities

• Design and develop methods, processes, and systems to consolidate, integrate, and analyze structured and unstructured data.
• Develop and apply advanced software programs, algorithms, query techniques, models, and automated processes to cleanse, integrate, and evaluate datasets.
• Develop and execute complex database queries across multiple databases and Application Programming Interfaces using Python and other applicable programming languages.
• Analyze requirements and evaluate technologies supporting data science capabilities, including Natural Language Processing, Machine Learning, predictive modeling, statistical analysis, and hypothesis testing.
• Develop and implement data strategies using diverse data sources to support quantitative and qualitative content analytics.
• Incorporate existing NRO‑and NGA‑developed AI-enabled automated collection strategies and Automated Target Recognition (ATR) models using Computer Vision (CV).
• Collaborate across multidisciplinary teams to integrate diverse data sources, including SIGINT, GEOINT, All-source, and Targeting data.
• Contribute to the development of new analytical tools, algorithms, and data science capabilities across the enterprise.
• Identify meaningful insights, interpret analytical results, and communicate findings and recommendations to Government and contractor stakeholders.
• Support data curation in support of the Defense Intelligence Enterprise (DIE) Common Intelligence Feed (CIF) and data visualization supporting the Common Intelligence Picture (CIP).
• Develop analytical techniques to improve organizational performance and solve complex mission challenges.
• Maintain awareness of emerging data analytics, artificial intelligence, and big-data technologies.

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another relevant STEM discipline or equivalent experience.
• Eight (8) or more years of experience performing intelligence analysis, data analysis, or closely related work.
• Eleven (11) years of task-related experience may be substituted for a bachelor's degree.
• U.S. Citizenship.
• Active Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance.
• Experience with AWS or a similar cloud computing provider.
• Demonstrated experience solving problems using structured and unstructured data.
• Demonstrated experience applying statistical analysis and data visualization techniques.
• Demonstrated knowledge of computer science concepts, data architecture, intelligence practices, and managing data in big-data environments.
• Experience performing complex data analysis and database queries.

Desired Qualifications

• GIS Systems Engineering experience.
• Familiarity with Palantir programs.
• Ability and willingness to travel approximately two weeks per year for conferences and coordination with stakeholders.
• Demonstrated experience working on data science projects in multiple domains and providing new capabilities to the organization and customers.
• Experience in two or more of the following: Python Machine Learning Natural Language Processing Neural Networks Apache Spark Hadoop R C++ SQL database/coding Visualization tools such as Tableau.
• Ability to perform complex tasks and participate in determining objectives of assignments, including planning schedules and working independently to achieve objectives.
• Proficiency in applying technical standards, principles, theories, concepts, and analytical techniques across multiple applications.
• Experience developing solutions to address a national security issue or provide a competitive advantage for an organization.

Position Duration

This position supports a customer-funded effort with an anticipated period of performance from September 1, 2026 through August 31, 2027. Employment is expected to conclude upon completion of the customer requirement. While Radiance cannot guarantee follow-on work after the period of performance, employees are welcome to apply for other open positions within the company for which they are qualified.

Salary Range

Salary Range $150,000 - $175,000

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Employee-Ownership

Radiance is a proud employee-owned company! Employee-ownership benefits both our customers and workforce, and ensures that Radiance doesn’t have to answer to stockholders or be driven by quarterly earnings reports. Thus, Radiance will always prioritize enhancing our customer’s mission over expanding our bottom line. We are singularly focused on providing our customers with game-changing solutions to their most challenging requirements. This is only possible because employee-ownership attracts the highest quality employees, empowers them to identify capability enhancements, and provides them with the freedom to take risks to deliver high-quality solutions. Employee-ownership also provides tangible and long-term financial security for our people and their families. Therefore, employee-ownership embodies participation, empowerment, freedom, teaming, excellence, accountability, mission focus, and security.

Our Culture

Radiance’s culture is driven by our commitment to our customers and our employee-owners. Our employee-owners thrive on entrepreneurship, empowerment, and mutual responsibility for growth and sustainability. Our culture consists of individuals who embody technical and leadership skills to deliver superior solutions to the nation’s toughest technical challenges. We believe building trust and credibility with our customers leads to long-term results. We invest in a superior technical workforce where leaders are developed, innovation is encouraged, and achievements are recognized. We seek innovative ways to improve, experiment, take risks, foster collaboration, and empower our employee-owners.

Our Values

Our values drive our culture, business model, and daily interactions. These values constantly remind us of who we are and what we do. Our employee-owners influence how we operate our business. We relentlessly pursue operating excellence by innovating, improving our processes, and reducing waste. We believe in being wise and ethical stewards of capital and resources. Our values dictate how we interact with each other and our customers, partners, and suppliers. Honesty, trust, humanity, alignment, and value creation require that we treat our employees with dignity and respect and provide them with fair compensation and equal employment opportunity. We believe in connecting with our communities and have a responsibility to be good corporate citizens, and we believe in sustainable business practices, which include supporting the environment and the communities in which we work.