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Noblis

Nonprofit federal contractor delivering systems engineering

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeChantilly, VA, USA$82.5k - $188.7k /yr

About the Job

Requirements

  • An active Top Secret/Sensitive Compartmented Information clearance with polygraph is required.
  • U.S. citizenship is required.
  • For Level I, candidates need a Bachelor's or Master's degree and 1 year of related experience, an Associate's degree and 3 years of related experience, or a high school diploma/GED and 6 years of related experience, including exposure or coursework in data science tools and technologies such as Python.
  • For Level II, candidates need a Bachelor's degree and 3 years of related experience, a Master's degree and 1 year of related experience, an Associate's degree and 6 years of related experience, or a high school diploma/GED and 9 years of related experience.
  • For Level III, candidates need a Bachelor's degree and 5 years of related experience, a Master's degree and 3 years of related experience, an Associate's degree and 8 years of related experience, or a high school diploma/GED and 11 years of related experience.
  • Level II and Level III candidates need experience with data science tools and technologies, including analyzing data in Python.
  • The role requires lifting up to 30 pounds, walking, bending, and driving.

Responsibilities

  • Analyze large volumes of structured and unstructured data using open-source datasets, statistical software, cloud services, and AI/ML technologies to identify meaningful patterns, relationships, and insights.
  • Support production AI/ML infrastructure and operations, including platform maintenance, issue triage, troubleshooting, and user support.
  • Support Kubernetes-based platform operations, including using management and deployment tools to maintain and optimize AI/ML environments.
  • Work with containerized model-serving environments, contributing to configuration updates, authentication, troubleshooting, and operational support for LLM and multimodal AI capabilities.
  • Explore and model data to identify relevant patterns, trends, relationships, and features of interest.
  • Design, develop, train, evaluate, and refine machine learning models for mission-focused applications.
  • Collect, curate, clean, transform, and process large-scale structured and unstructured datasets for analytical and machine learning applications.
  • Research, implement, evaluate, and document analytical methodologies, models, and outcomes.
  • Use high-performance computing resources, including GPU clusters and cloud-based platforms, to support large-scale data processing and model development.
  • Develop data visualizations and analytical products using tools such as Tableau to communicate findings and recommendations to technical and non-technical stakeholders.
  • Provide technical expertise to government customers through developing machine learning, statistical analysis, and data mining solutions.
  • Collaborate with data scientists, software engineers, subject matter experts, and cyber analysts to apply advanced analytics, machine learning, and AI techniques.
  • Contribute to the full model lifecycle, including model development, versioning, deployment, monitoring, and vulnerability identification.
  • Support capabilities such as object detection, data triage, search optimization, inference, facial recognition, behavior analysis, and automated decision-making.

Desired Qualifications

  • Proficiency in data science tools and technologies such as SQL/PostgreSQL, Apache Spark, and Git.
  • Experience with machine learning, statistical modeling, and/or time-series forecasting.
  • Experience with data visualization tools such as Tableau to communicate findings to technical and non-technical stakeholders.
  • Experience working with cloud platforms such as AWS.
  • Experience working with cyber data, including platforms such as Shodan and Censys.
  • Experience working with open-source and large-scale datasets.
  • Ability to clean, transform, manage, and optimize large, complex datasets for analytical and machine learning applications.
  • Fundamental understanding of AI/ML techniques and ability to select and apply appropriate methods to address specific problems.
  • Strong written and verbal communication skills and ability to communicate technical concepts and analytical findings to diverse audiences.
  • Familiarity with developing, retraining, or using AI and machine learning packages.
  • Knowledge of software and hardware optimization techniques for large-scale data processing.
  • Proficiency in data warehousing, data management, and ETL tools such as Apache NiFi, Pentaho, and Kafka.
  • Experience supporting Kubernetes-based platform operations and containerized model-serving environments.
  • An advanced degree in a data science equivalent field or sub-field.

About the Company

Noblis

Nonprofit federal contractor delivering systems engineering

Noblis is a nonprofit science, technology, and strategy organization that provides technical services and research to U.S. federal government agencies. It wins federal contracts and grants to deliver services such as systems engineering, program management, data analytics, cybersecurity, AI, and digital transformation across defense, homeland security, intelligence, and civil agencies. It differentiates itself by applying applied sciences and model-based engineering across multi-cloud environments and by partnering with small businesses to fulfill contracts, with research leading to patented technologies like DNA data storage and secure authentication. Its goal is to advance public-interest technology solutions through rigorous research and mission-focused programs that improve national security, public safety, and government operations.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Falls Church, VA
Founded
1996

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