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, Engineering Services.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client is seeking an entry-level Data Scientist I to turn raw data into actionable insights and production-ready tools that support decision-making and operational missions in an engineering services environment. You will work on cloud and on-premises systems, support model onboarding and transition to operations, and help build reliable data pipelines and analytic workflows.

• Work on assignments requiring judgment and initiative to deliver analytic results
• Help onboard, operate, and transition AI/ML models in cloud and on-premises environments
• Support development of data and software delivery pipelines to ensure reliability and compliance
• Visualize, analyze, and provide metrics for program-level projects and stakeholders
• Provide technical support for research, development, and transitioning advanced analytics to operational use
• Analyze unstructured and semi-structured data using entity extraction, latent semantic techniques, and complex event processing
• Process, index, and manage both high-volume collections and high-velocity data streams
• Design and assist in deploying applications that use advanced unstructured-data techniques
• Interpret data to identify patterns, trends and deliver actionable recommendations

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Qualifications

Required — candidates must meet the following to be considered:

• Must possess and be able to maintain a TS/SCI security clearance with polygraph
• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Physics, or a related technical field
• Entry-level: 0–2 years professional experience (this role is suitable for recent graduates or early-career professionals)
• Strong analytical skills and interest in solving technical problems
• Good written and oral communication; able to present findings to technical and non-technical audiences
• Ability to work independently and collaboratively on cross-functional teams
• Experience with or understanding of cloud-based tools for data analysis (AWS/GCP/Azure or similar)

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Preferred / Desired Skills

These skills are a strong plus and will make you more competitive:

• Practical experience applying machine learning, clustering, or algorithm analysis
• Experience with textual processing and open-source NLP tools
• Familiarity with entity extraction, conceptual search, and visual analytics tools
• Unix/Linux scripting experience
• Programming experience in Python, C/C++, Fortran, or similar languages
• Experience with R, MATLAB, Excel, or similar analysis tools
• Background in data mining, statistics, predictive analytics, and performance analysis
• Familiarity with enterprise software stacks (open-source or Windows/.NET ecosystems)

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Compensation & Benefits

• Projected salary range: Min: $66,456.39 — Max: $115,554.76 (final offer depends on factors such as Contract Wage Determination, experience, skills, education, and relevant labor categories)
• Benefits may include (depending on position): Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short- and Long-Term Disability, Retirement/Savings plans, learning & development, and wellness programs

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Location & Clearance

• Location: Chantilly, VA (on-site / local support as required by program)
• Clearance: Candidates must already hold a TS/SCI clearance with polygraph and be able to maintain it. U.S. citizenship is required due to clearance requirements.

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Why Join

• Work on mission-driven projects in an engineering services environment where data science and AI/ML have direct operational impact
• Gain hands-on experience deploying models and analytics at scale across cloud and on-premises systems
• Early-career growth opportunities, mentorship, and exposure to multidisciplinary teams

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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.