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, Research.

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

---

Overview

Confidential Client (Research) is looking for a Data Scientist to join a multidisciplinary team developing data-driven algorithms, scalable software, and system-level solutions to challenging R&D problems. This role supports applied research and development across data-intensive applications including machine learning, natural language processing, graph analysis, and high-performance computing. The position offers a hybrid schedule (work from home up to 2–3 days per week, depending on project needs).

---

What You’ll Do

• Collaborate with scientists, engineers, and application developers to translate research into operational tools and solutions.
• Design, develop, validate, and deploy data analysis and machine learning algorithms for program needs.
• Work on problems in one or more areas: data-intensive applications, NLP, graph analysis, ML/statistical learning, visualization, data fusion, streaming, and database technologies.
• Integrate components such as web-based UIs, access control, and indexing products into information and knowledge discovery systems.
• Participate in software design, implementation, and performance analysis for scalable computing environments (including GPUs/FPGAs/HPC).
• Share expertise with teammates, contribute to technical reviews, and help meet project deliverables.
• Perform other duties as assigned.

---

Qualifications

Minimum / Required

• Ability to secure and maintain a U.S. DOE Q‑level security clearance (requires U.S. citizenship).
• Bachelor’s degree in data science, computer science, mathematics, statistics, or a related technical field — or equivalent combination of education and experience.
• Fundamental knowledge in scientific data analysis, statistical learning, supervised/unsupervised learning, deep learning, reinforcement learning, NLP, or big data technologies.
• Familiarity with adversarial AI concepts (e.g., evasion, privacy, data poisoning).
• Experience across the data science lifecycle: data exploration, feature engineering, modeling, visualization, and deployment.
• Programming experience in C++, Python, or R on Linux/UNIX/Windows and experience integrating algorithms into larger applications.
• Experience with ML frameworks/APIs such as scikit-learn, PyTorch, or TensorFlow.
• Strong interpersonal, written, and verbal communication skills.

Preferred / SES.2 Level

• Demonstrated ability to manage multiple priorities and deliverables concurrently.
• Experience solving abstract problems and producing reusable algorithms and software modules.
• Advanced ML knowledge in one or more areas: transfer learning, distributed ML (data/model), MLOps, generative models, transformers, graph neural networks, uncertainty quantification, surrogate modeling, or low-shot techniques.

---

Pay Range

• $121,830 - $185,544 Annually (overall range)
  • SES.1: $121,830 - $154,500 Annually
  • SES.2: $146,340 - $185,544 Annually

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. Final pay will be based on competencies, education, experience, and other permitted factors and will not fall below any applicable local minimum wage.

---

Additional Information & Benefits

• Hybrid schedule (in-person + remote up to 2–3 days/week depending on project needs)
• Flexible benefits package, 401(k), relocation assistance (when applicable), and education reimbursement programs
• Career indefinite or at-will appointment (per client policy)
• May be subject to restrictions on personal wireless/mobile devices in secure/limited areas
• Pre-employment drug test required for external candidates (federal contractor rules apply)

---

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.