Senior Data Scientist - Data Ecosystem Manager

Position: Senior Data Scientist

Series/Grade: NH-1560-IV, (GS 14/15 Equivalency)

Salary: $127,818 -$195,200 (Please see pay charts for Colorado Springs and Huntsville, AL for more accurate numbers)

Org: United States Space Command, J008 Chief Digital and Artificial Intelligence Office

Location: Colorado Springs (Position will move with the Command to Huntsville, AL at a date TBD)

Suspense: Resumes from interested candidates are due by COB 15 Feb 2026

PCS Entitlements: May be offered

Relocation/Recruitment Incentives: May be offered

Telework: Situational Only

The United States Space Command (USSPACECOM) in Colorado Springs, CO is searching for a well-qualified candidate to fill a Senior Data Scientist position for the Chief Digital and Artificial Intelligence Office. Come join our amazing team who helps to ensure there is never a day without space!

The job is currently located in Colorado Springs, CO. There’s a reason Colorado Springs has ranked in the top 10 U.S. cities to live for the past several years. There is so much the Pikes Peak Region has to offer including beautiful mountain views, an abundance of recreational activities, good economic growth, top-rated schools, and lots of activities for families such as parks, museums, zoos, and more!

The United States Space Command will be relocated to Huntsville, AL. Exact timeline is unknown, but offers an opportunity to be part of the exciting effort to relocate US Space Command to beautiful Huntsville!

Description of Position: Serves as the USSPACECOM Subject Matter Expert (SME) and Senior Staff Data Science Manager, overseeing the development, management, fielding, and sustainment of the USSPACECOM Data Ecosystem. Provides strategic analysis and technical expertise to the Command CDAO and the CDAO team on data architecture, integration, applications, analytics, AI/ML, and related policy matters. Routinely represents USSPACECOM in DoW, Inter-agency, and Coalition forums on Data/AI/ML issues.

Position Responsibilities:

• Advises and provides strategic analysis to USSPACECOM CDAO on all matters associated with the Data Ecosystem, including data architecture, integration, applications, analytics, AI/ML.
• Manages the planning and capability development of the USSPACECOM Data Ecosystem, ensuring optimal performance and alignment with strategic objectives.
• Performs management and oversight for the USSPACECOM Data Ecosystem, including data architectures, data acquisition systems, data analytics tools, and AI/ML.
• Conducts studies of complex issues, evaluates the impact of new technologies, and provides recommendations to inform leadership decisions.
• Provides technical guidance and advisory support on projects, exploring new data sources, capabilities, and AI/ML applications.
• Represents the USSPACECOM CDAO at meetings, conferences, and seminars, collaborating with government, industry, and inter-agency representatives.
• Develops and delivers comprehensive technical reports, budgets, and progress updates.
• Effectively manages multidisciplinary teams, identifying and addressing challenges, and facilitating collaboration to achieve project goals.

Desired Skills/Expertise:

• Expertise in data science principles, data architecture, data integration, data analytics, AI/ML, and related technologies.
• Experience with coding in Python
• Familiarity with the AWS environment
• Familiarity with Palantir products, to include MAVEN and Warp Core
• In-depth knowledge of DoW data policies, procedures, and security protocols.
• Demonstrated ability to provide strategic analysis and technical expertise to senior leadership.
• Experience in managing the development, fielding, and sustainment of large-scale data ecosystems.
• Strong communication and presentation skills, with the ability to effectively convey complex technical information to diverse audiences.
• Proven ability to lead and manage multidisciplinary teams to achieve project goals.
• Experience representing an organization at meetings, conferences, and technical exchange forums.

Qualification Requirements: **Refer to OPM Qualification Standards for information on required position series/education requirements at: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/

Basic Requirements:

Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

or

Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

Conditions of Employment:

• Must be a U.S. Citizen
• Must be able to obtain and maintain a Top Secret/SCI Security Clearance
• Position requires drug testing
• Occasional travel away from regular duty location may be required.
• May be required to work irregular duty hours including evenings, weekends, and/or holidays.

The federal government offers a number of exceptional benefits to its employees. Below is a brief overview:

• Health, Dental, Vision, and Long Term Care Insurance (large variety of plan options available)
• Flexible Spending Accounts
• Paid Vacation - New employees start out with 4 hours of annual leave per pay period (13 days/year); after 3 years it is 6 hours per pay period (19.5 days/year); after 15 years it is 8 hours per pay period (26 days/year).
• Sick Leave Accrual - In addition to annual leave, everyone accrues 4 hours of sick leave per pay period (13 days per year) for the entirety of their career.
• Federal Employee Retirement System
• Roth & Traditional Thrift Savings Plan (TSP) - similar to private sector 401(k). The govt matches the first 3% of your contributions dollar for dollar and the following 2% are matched at $0.50 to each dollar you contribute. Visit www.tsp.gov for more info.