Associate Data Scientist
The Associate Data Scientist at Confidential Client applies data science, machine learning, and systems engineering techniques to support the analysis, design, and integration of complex enterprise and mission systems for federal agencies. This role involves leveraging quantitative methods and modern engineering practices to evaluate architectures, develop metrics, and address multi-disciplinary analytical challenges that impact national security and public services. The position offers growth opportunities in a collaborative environment focused on innovative, high-impact solutions.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role overview
Confidential Client is seeking an Associate Data Scientist to apply and grow data science, systems engineering, and analytical capabilities in support of mission-driven technology projects. You will work on cross-disciplinary problems using data science, machine learning, model‑based systems engineering (MBSE), and digital engineering approaches to support design, analysis, and system-of-systems integration.
What You’ll Do
- Use data science, systems thinking, and quantitative methods to identify opportunities where Confidential Client can deliver impact for federal sponsors and other mission partners.
- Apply modern methods and tools — including machine learning, data analytics, MBSE, digital engineering, and mathematical modeling — to assess capability needs, requirements, architectures, performance constraints, and verification/test approaches.
- Evaluate alternative architectures and approaches using qualitative and quantitative analyses; explore large trade spaces and analyze trade-offs.
- Identify and develop metrics and analytical methods to measure system and data properties such as robustness, resiliency, interoperability, quality, and maintainability.
- Support requirements management, interface management, and architecture change-management processes.
- Perform data analysis, modeling, and system design tasks, including software development and systems modernization activities.
- Contribute to multiple tasks across several government-sponsored projects in small- and large-team environments.
Qualifications
- Typically requires less than 1 year of related professional experience with a related bachelor’s degree, or an equivalent combination of education and experience.
- Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Physics, Engineering, Software Engineering, or a related technical field.
- Familiarity with programming and analytical tools such as Python and MATLAB.
- Familiarity with Model-Based Systems Engineering (MBSE) and Digital Engineering (DE) concepts.
- Experience with statistical analysis, data analysis, and modeling.
- Interest in complex, multi-disciplinary data and analytical problems and a willingness to learn new tools and concepts.
- This position requires a minimum of 3 days per week onsite at the Pimmit, VA location.
Preferred qualifications
- Active security clearance (preference, where applicable).
- Advanced degree in a related field.
- Experience with multi-disciplinary modeling and simulation (physics-level, engineering-level, and/or socio-technical-level).
- Experience with digital engineering integration through internships, research, or academic projects.
Clearance & employment type
- Clearance required: None (no clearance required at hire).
- Employment type: Full-time.
- Onsite requirement: Minimum 3 days per week onsite in Pimmit, VA.
Compensation & location
- Salary compensation range and midpoint: $80,000 - $100,000 - $120,000 Annual (range provided by the client).
- Work location: Pimmit, VA (on-site required a minimum of 3 days/week).
Why join?
- Work on mission-driven projects that impact national security, cybersecurity, health, transportation, and citizen services.
- Gain hands-on experience with advanced analytics, MBSE, digital engineering, and systems-of-systems problems.
- Join a collaborative technical environment with opportunities for professional development and meaningful contribution.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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