Senior Computational Scientist

Everforth, Inc.; Springfield (VA); Sur place; USD 150 000 - 190 000; Plein temps

Résumé du poste

Everforth ECS seeks a Senior Computational Scientist to lead development and deployment of advanced models at Springfield, VA and Fairfax, VA sites. You will bridge theoretical science with AI/ML and HPC engineering to support national security datasets.

Responsibilities include designing complex models, scaling software on GPU/CPU clusters, and guiding cross‑functional research initiatives. Requires PhD/Master’s and 5–8+ years in defense or related sectors.

Qualifications

• PhD or Master’s degree in Computational Science, Applied Physics, or Electrical Engineering.
• Strong programming in Python/C++ and experience with AI/ML for large datasets.
• Experience with HPC environments, CUDA and parallel computing.
• Experience with Linux/Unix, CI/CD (GitLab) and containerization (Docker/Kubernetes).
• Proven ability to translate complex science into actionable plans for defense/national security datasets.

Responsabilités

• Design, implement, and validate complex computational models and simulations.
• Lead end-to-end data science initiatives from design to production deployment.
• Apply advanced ML, deep learning, and statistical methods to large-scale datasets.
• Optimize and scale software across hybrid GPU/CPU clusters.
• Mentor junior scientists and collaborate with domain experts.

Connaissances

Python

C++

AI/ML

HPC

CUDA

Formation

PhD or Master's in Computational Science/Applied Physics/Electrical Engineering

Outils

Linux/Unix

Docker

Kubernetes

AWS

Description du poste

Everforth ECS is seeking a Senior Computational Scientist to work in our Springfield, VA customer site and Fairfax, VA corporate site.

Everforth ECS is seeking a highly skilled and visionary Senior Computational Scientist lead the development, scaling, and deployment of advanced mathematical, statistical, and computational models. In this role, you will bridge the gap between complex theoretical science, Artificial Intelligence/Machine Learning (AI/ML), and high-performance computing (HPC) engineering. You will design robust algorithms, optimize high-performance codes, and lead cross-functional research initiatives that directly support our critical national security and defense mission datasets.

As a Senior Computational Scientist, you will leverage statistical and AI/ML algorithms to deliver advanced analytics, including predictive analysis and modeling, pattern-of-life analysis, and remote sensing change detection. You will manage the entire computational algorithm development lifecycle from design and training to deployment and maintenance while ensuring performance, observability, and security. This role contributes to building scalable infrastructure, integration layers, real ‑ time dashboards, and automated pipelines that enable secure, compliant, and efficient AI operations aligned with mission and business goals.

Key responsibilities include:

• 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, encompassing the design, training, and production deployment of AI/ML algorithms
• Partner with domain experts (aerospace, cybersecurity, intelligence) to translate mission needs into computational requirements
• Write white papers, proposals, and technical documentation. When possible, publish in peer-reviewed journals
• Mentor junior computational scientists, engineers, and data analysts on scientific software best practices
• Active Top Secret / Sensitive Compartmented Information Clearance with CI Poly eligibility
• Ph.D. or Master’s degree in Computational Science, Applied Physics, or Electrical Engineering
• 5 to 8+ years of post-Ph.D. experience leading computational science initiatives preferably within defense, national laboratories, or advanced aerospace/computing industries
• Mastery of high-performance scientific programming languages (e.g., Python, C++, Java, Matlab, etc.)
• Proven ability to conduct advanced data analysis and apply data science methodologies for predictive modeling, pattern of life analysis, and change detection analysis
• Extensive hands‑on experience developing in Linux/Unix environments (Bash/Csh/Awk/Perl), using modern CI/CD software pipelines (such as GitLab), and containerization (Docker/Kubernetes)
• Strong expertise in AWS cloud services (compute, storage, networking, IAM)
• Deep technical expertise in parallel programming models (e.g., CUDA, cuDNN)
• Strong foundation in AI/ML algorithms and ability to implement agentic workflow with MCP and prompt engineering
• Experienceinlarge language model (LLM) applications
• Exceptional ability to synthesize highly abstract mathematical concepts into actionable, BLUF‑style executive briefings for non‑technical stakeholders
• Strong understanding of model evaluation metrics (e.g., precision, recall, AUC) and statistical drift detection methods.
• Experience with time‑series databases, spatial databases, Resource Description Framework (RDF) databases, and relational databases
• Strong communication skills with the ability to interface and collaborate with project managers, stakeholders, vendors, and technical staff

Desired Skills

• Proficiency in building and managing ETL pipelines (e.g. AWS Glue, Apache Airflow)
• Prior experience supporting DoD, Intelligence Community, or other U.S. Government programs
• Understanding cybersecurity accreditation processes
• Experience with the following:
  • Computer graphics and computer vision (CV) AI/ML
  • Remote sensing (SAR, EO/IR, MSI, etc.)
  • Geospatial Information System (GIS)
  • Principle component analysis (PCA)/linear discriminant analysis (LDA)
  • K‑nearest neighbors (KNN)/Density‑Based Spatial Clustering of Applications with Noise (DBSCAN)/Clustering techniques
  • Bayesian Science/Bayes Naive Network
  • Reinforcement Learning (RLHF, PPO, DQN, etc.)/Dynamic Programming
  • Variational auto encoders (VAEs)
  • Retrieval‑Augmented Generation (RAG) with Graph DB and Relational DB
  • Optimization Algorithms
  • Kalman Filtering
  • Network and RF Communications
  • Signal Processing (Fourier Analysis)/Cross‑Ambiguity Function (CAF)
  • High‑performance computing (HPC)/Parallel Programming
• Data governance, metadata management, and compliance frameworks

ECSFederal LLCis an equal opportunity employer and does not discriminate or allow discrimination on thebasisany characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or localjurisdictionlaw.

Everforth ECS is the federal segment of Everforth, a $4B global organization with over10,000 employees. Ournearly 3,500professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.

Our work powers mission‑critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.

We value:

• Attracting and developing top talent and high‑performing teams
• Fostering a culture that is engaging, accountable, and mission‑driven

Meet the challenge. Make a difference withEverforthECS!

ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.

Everforth ECS is the federal segment of Everforth , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.

Our work powers mission‑critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.

Meet the challenge. Make a difference with Everforth ECS!