Data Scientist (AI/ML)

Noblis and our wholly owned subsidiaries take on some of the nation’s toughest challenges, delivering advanced solutions to government customers in the defense, intelligence, and federal civilian sectors.

About the role

As a Data Scientist, you will provide technical expertise to government customers by applying machine learning, statistical analysis, and data mining techniques to derive actionable insights from complex datasets. You will contribute to the full model lifecycle, including model development, versioning, deployment, monitoring, and vulnerability identification. The ideal candidate will have experience analyzing cyber data and applying data science methodologies to solve complex customer problems, with strong proficiency in Python and experience working with modern AI/ML technologies and cloud-based environments.

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 the use of 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 to support 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.
• Leverage high-performance computing (HPC) 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 effectively communicate findings and recommendations to technical and non-technical stakeholders.

Requirements

• Active Top Secret/SCI (TS/SCI) clearance with a current Polygraph.
• U.S. Citizenship is required.
• Bachelor’s degree with 3 years of related experience; OR Master’s degree with 1 year of related experience; OR Associate’s degree with 6 years of related experience; OR High School diploma/GED with 9 years of related experience.
• Strong foundation in machine learning, mathematics, and statistics.
• Proficiency with industry-standard data science tools, technologies, and programming languages, including Python, PostgreSQL/SQL, Apache Spark, and Git.
• Experience working with open-source and large-scale datasets.
• Demonstrated ability to clean, transform, manage, and optimize large, complex datasets for analytical and machine learning applications.
• Experience with data visualization tools, such as Tableau.
• Experience working with cyber data, including platforms such as Shodan and Censys.
• Fundamental understanding of a range of AI/ML techniques, with the ability to select and apply appropriate methods to address specific problems.
• Strong written and verbal communication skills, with the ability to effectively communicate technical concepts and analytical findings to both technical and non-technical audiences.

Qualifications

• Familiarity with developing, retraining, or using AI and Machine Learning packages.
• Experience with Apache NiFi.
• Familiarity with distributed data processing and big data technologies such as Hadoop, Apache Spark, or similar parallel computing frameworks.
• Experience working in cloud environments, including Amazon Web Services (AWS), Google Cloud Platform (GCP), and/or Microsoft Azure.
• Knowledge of software and hardware optimization techniques to improve the performance and scalability of data-intensive and AI/ML workloads.

Benefits

Noblis offers health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs.

Pay

Posted Salary Range: USD $90,700.00 - USD $141,775.00 per year (full-time status). For part-time or on-call staff, compensation is proportionately adjusted based on hours worked.