Senior Computational Scientist
About The Position
Everforth ECS is seeking a Senior Computational Scientist to work at its Springfield, Virginia customer site and Fairfax, Virginia corporate site. The role leads the development, scaling, and deployment of advanced mathematical, statistical, and computational models, bridging theoretical science, AI/ML, and high-performance computing engineering. The scientist designs robust algorithms, optimizes high-performance code, and leads research initiatives supporting national security and defense mission datasets. The position applies statistical and AI/ML algorithms to predictive analysis and modeling, pattern-of-life analysis, and remote-sensing change detection. It manages the computational algorithm development lifecycle from design and training through deployment and maintenance, with attention to performance, observability, and security. The role also contributes to scalable infrastructure, integration layers, real-time dashboards, and automated pipelines for secure, compliant AI operations aligned with mission and business goals.
Requirements
- Must be a U.S. citizen.
- Active Top Secret/Sensitive Compartmented Information clearance with CI Poly eligibility.
- Ph.D. or master’s degree in Computational Science, Computational Physics, or Electrical Engineering.
- Five to eight or more years of post-Ph.D. experience leading computational science initiatives.
- Mastery of high-performance scientific programming languages such as Python, C++, Java, or MATLAB.
- Ability to conduct advanced data analysis and apply data science methods to predictive modeling, pattern-of-life analysis, and change detection.
- Hands-on experience developing in Linux/Unix environments, including Bash, Csh, Awk, or Perl; using modern CI/CD pipelines such as GitLab; and containerization with Docker or Kubernetes.
- Strong expertise in AWS cloud services, including compute, storage, networking, and IAM.
- Deep technical expertise in parallel programming models such as CUDA and cuDNN.
- Strong foundation in AI/ML algorithms and ability to implement agentic workflows with MCP and prompt engineering.
- Experience with large language model applications.
- Ability to synthesize abstract mathematical concepts into actionable, BLUF-style executive briefings for non-technical stakeholders.
- Understanding of model evaluation metrics such as precision, recall, and AUC, and statistical drift detection methods.
- Experience with time-series, spatial, RDF, and relational databases.
- Strong communication skills and ability to collaborate with project managers, stakeholders, vendors, and technical staff.
Nice To Haves
- Experience leading computational science initiatives in defense, national laboratories, or advanced aerospace/computing industries.
Responsibilities
- Design, implement, and validate complex computational models and simulations.
- Apply advanced machine learning, deep learning, and statistical physics methodologies to large-scale structured and unstructured datasets.
- Optimize, parallelize, and scale scientific software across hybrid GPU/CPU cluster architectures.
- Lead end-to-end data science initiatives, including the design, training, and production deployment of AI/ML algorithms.
- Partner with aerospace, cybersecurity, and intelligence domain experts to translate mission needs into computational requirements.
- Write white papers, proposals, and technical documentation, and publish in peer-reviewed journals when possible.
- Mentor junior computational scientists, engineers, and data analysts on scientific software best practices.
- Contribute to scalable infrastructure, integration layers, real-time dashboards, and automated pipelines supporting AI operations.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
