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Noblis

Nonprofit federal contractor delivering systems engineering

Data Scientist - Multiple Levels, Cleared

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeReston, 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.
  • Travel up to 10% within the United States is required.
  • Must be able to lift up to 30 pounds, walk, bend, and drive.
  • Junior level: Bachelor's or master's degree with 1 year of related experience, including exposure or coursework in data science tools and technologies such as Python; alternatively, an associate's degree with 3 years of related experience, or a high school diploma/GED with 6 years of related experience.
  • Mid-level: Bachelor's degree with 3 years of related experience; alternatively, a master's degree with 1 year, an associate's degree with 6 years, or a high school diploma/GED with 9 years of related experience. Experience with data science tools and technologies, including analyzing data in Python, is required.
  • Senior level: Bachelor's degree with 5 years of related experience; alternatively, a master's degree with 3 years, an associate's degree with 8 years, or a high school diploma/GED with 11 years of related experience. Experience with data science tools and technologies, including analyzing data in Python, is required.

Responsibilities

  • Analyze large volumes of structured and unstructured data using open-source datasets, statistical software, cloud services, and artificial intelligence/machine learning technologies to identify meaningful patterns, relationships, and insights.
  • Support production artificial intelligence/machine learning 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 artificial intelligence/machine learning environments.
  • Work with containerized model-serving environments, contributing to configuration updates, authentication, troubleshooting, and operational support for large language model and multimodal artificial intelligence 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 graphics processing unit clusters and cloud-based platforms, for 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 by 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 artificial intelligence techniques.
  • Contribute to the full model lifecycle, including model development, versioning, deployment, monitoring, and vulnerability identification.

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 artificial intelligence/machine learning techniques and the ability to select and apply appropriate methods to address specific problems.
  • Strong written and verbal communication skills, including the ability to communicate technical concepts and analytical findings to diverse audiences.
  • Familiarity with developing, retraining, or using artificial intelligence and machine learning packages.
  • Knowledge of software and hardware optimization techniques for large-scale data processing.
  • Proficiency in data warehousing, data management, and extract, transform, load 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 subfield.

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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