Job description

Responsibilities Noblis is seeking Data Scientists at all experience levels with an active TS/SCI with a Polygraph to support mission-critical national security initiatives in Chantilly, Virginia. As a Data Scientist, you will support the intelligence community by developing innovative, data-driven solutions to address mission-critical challenges. You will provide technical expertise to government customers through the development of machine learning, statistical analysis, and data mining solutions. You will collaborate with cross-functional teams including data scientists, software engineers, subject matter experts, and cyber analysts to apply advanced analytics, machine learning, and AI techniques. Additionally, you will contribute to the full model lifecycle, including model development, versioning, deployment, monitoring, and vulnerability identification. Your work will directly contribute to capabilities such as object detection, data triage, search optimization, inference, facial recognition, behavior analysis, and automated decision-making. 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. Key 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 #HighlyCleared Required Qualifications • Active Top Secret/SCI (TS/SCI) with Polygraph • U.S. Citizenship is required • Travel up to 10% within US. • Lift up to 30 lbs, walk, bend, drive. One of the following: 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; OR Associate's degree with 3 years of related experience; OR High School diploma/GED with 6 years of related experience • Compensation: $82,500 - $128,925 Mid-level • 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 • Experience with data science tools and technologies, including analyzing data in Python • Compensation: $90,700 - $141,775 Senior level • Bachelor's degree with 5 years of related experience; OR Master's degree with 3 years of related experience; OR Associate's degree with 8 years of related experience; OR High School diploma/GED with 11 years of related experience • Experience with data science tools and technologies, including analyzing data in Python • Compensation: $120,700 - $188,725 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 • Demonstrated ability to clean, transform, manage, and optimize large, complex datasets for analytical and machine learning applications • 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 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 (e.g., Apache NiFi , Pentaho, Kafka) • Experience supporting Kubernetes-based platform operations and containerized model-serving environments • Advanced degree in a data science equivalent field or sub-field Overview Overview Noblis and our wholly owned subsidiaries, Noblis ESI and Noblis MSD, take on some of the nation’s toughest challenges, delivering advanced solutions to our customers’ most critical missions. We bring together leading scientific, engineering, and management expertise in a culture grounded in objectivity and collaboration, ensuring our work creates lasting impact across federal missions. We work with a broad range of government agencies in the defense, intelligence, and federal civilian sectors. Learn more and find opportunities at careers.noblis.org Why Work at Noblis At Noblis, we share a passion for excellence and innovation, and we create an environment where people can do meaningful work while maintaining the balance that keeps them energized and fulfilled. We seek out individuals with a natural curiosity and desire to collaborate and learn. We believe our people are our greatest strength, and we consistently seek exceptionally skilled, mission‑driven professionals who care deeply about doing work that enriches lives and makes our nation safer. Noblis has earned numerous workplace awards for our culture, our commitment to employee well‑being, and our dedication to meaningful, impactful work. We also maintain a drug‑free workplace. Remote/hybrid status is subject to change based on Noblis and/or government requirements. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us . EEO is the Law | E-Verify | Right to Work Total Rewards At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. 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. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site. Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis’ total compensation package. Posted Salary Range USD $82,500.00 - USD $188,725.00 /Yr.

Requirements

Must-haves

Noblis is seeking Data Scientists at all experience levels with an active TS/SCI with a Polygraph to support mission-critical national security initiatives in Chantilly, Virginia.
Your work will directly contribute to capabilities such as object detection, data triage, search optimization, inference, facial recognition, behavior analysis, and automated decision-making.
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

Nice-to-haves

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
Demonstrated ability to clean, transform, manage, and optimize large, complex datasets for analytical and machine learning applications
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 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 (e.g., Apache NiFi , Pentaho, Kafka)

Application prep

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Keywords to mirror

machine learningaipythonmlkubernetesllmsqlaws

Platform: jibe
Effort: medium

Benefits

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Professional Development