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Über diese Data Scientist Stelle bei Radiance Technologies

Radiance Technologies · Vor Ort · Colorado Springs, CO

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 in Colorado Springs, Colorado. This position supports an ongoing, mission-critical effort focused on advancing data analytics capabilities in support of national security missions. The effort is funded on an annual basis, with the current period of performance extending through July 31, 2027, and future work anticipated to be supported through subsequent annual funding. The selected candidate will apply advanced data analytics techniques to research and analyze structured and unstructured data, develop complex database queries, and transform data into actionable insights. Working as part of a multidisciplinary team, the Data Scientist will collaborate with Government and contractor personnel to integrate diverse data sources, solve complex mission challenges, and communicate analytical findings and recommendations to stakeholders.

 

Duties and Responsibilities

·         Perform research on structured and unstructured data sources using quantitative and qualitative metadata and content analytics.

·         Construct and execute complex database queries to support mission requirements.

·         Collaborate across multidisciplinary teams to integrate data sources and solve mission challenges.

·         Identify meaningful insights from large datasets and communicate findings and recommendations to Government stakeholders.

·         Support data management activities within large-scale, enterprise data environments.

 

Required Qualifications

·         Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another relevant STEM discipline (or equivalent experience).

·         Five (5) or more years of experience as a Data Scientist or in a closely related analytical role.

·         Demonstrated knowledge of computer science concepts, data architecture, intelligence practices, and managing data within big-data environments.

·         Experience performing complex data analysis and database queries.

·         Active Top Secret/SCI security clearance.

 

 

Position Duration

This position supports an ongoing customer mission with funding anticipated on an annual basis. The current period of performance extends through July 31, 2027, with continued performance anticipated subject to future funding and customer requirements. While future funding cannot be guaranteed, Radiance intends to support the continuing mission as funding is made available. Employees may also pursue other opportunities within Radiance Technologies for which they are qualified.

 

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.

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Wie sich dieses Gehalt für Data Scientist vergleicht

Diese Stelle zahlt $162,500/yr — im Einklang mit der üblichen Spanne für Data Scientist Stellen.

$99,848 dem Median $167,500 $251,595

Übliche Spanne $130,500–$212,843/yr, aus 1,243 vergleichbaren Data Scientist Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Data Scientist ansehen →

Über Radiance Technologies

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-ownershi

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