Data Scientist

Responsibilities

Noblis ESI is seeking an experienced Data Scientist to join our team on-site in Chantilly, VA.

As a Data Scientist, you will support Intelligence Community missions by developing data-driven solutions using machine learning, statistical analysis, and data mining. You'll collaborate with cross-functional teams to apply advanced analytics and AI, while also supporting model lifecycle management, including versioning and vulnerability identification.

Your work will directly contribute to capabilities such as knowledge management, data triage, search optimization, AI LLM Knowledge Bases, data visualization, and automated decision‑making. The ideal candidate will have experience analyzing diverse data sets and applying data science techniques to solve customer problems, using technologies such as Python, SQL, R, Tableau, etc.

• Working with classified-source data and statistical software packages, cloud services, and AI/ML technologies to find patterns and relationships in large volumes of data.
• Analyzing and interpreting large, complex datasets.
• Exploring and modeling data to uncover patterns and features of interest.
• Designing, building, and training machine learning models.
• Collecting, curating, and processing large-scale structured and unstructured datasets.
• Researching, implementing, and documenting analytical approaches and outcomes.
• Utilizing high-performance computing resources, including GPU clusters and cloud-based platforms.
• Applying data visualization (e.g., Tableau) to communicate findings to stakeholders.

• Active Top Secret/SCI clearance with Counterintelligence (CI) Polygraph.
• US Citizenship is required.
• Bachelor's degree with 3 years of experience OR Associate's degree with 6 years of experience OR High School diploma/GED with 9 years of experience.
• Proficiency in data science tools and technologies such as Python, SQL/PostgreSQL, Spark, and Git (NiFi is a plus).
• Experience analyzing data in Python.
• Experience with data visualization tools (e.g., Tableau).
• Experience or knowledge with machine learning, statistical modeling, and/or time-series forecasting.
• Experience or knowledge working with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
• Experience or knowledge working with open-source and classified datasets.
• Demonstrated ability to clean, manage, and optimize large-scale datasets.
• Fundamental understanding of a range of AI techniques and ability to match techniques to problems.
• Ability to effectively communicate technical concepts to a variety of audiences verbally and in writing.

• Familiarity with developing, retraining, or using AI and Machine Learning packages.
• Knowledge of software and hardware optimization techniques for large-scale data processing.
• Proficient in data warehousing, data management, and ETL tools (e.g., Apache NiFi, Pentaho, Kafka).

Remote/hybrid status is subject to change based on Noblis and/or government requirements.

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 ().

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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…