Data Scientist (TS/SCI w/ poly) - Chantilly, VA

Military Spouse Corporate Career Network • Chantilly, VA

5d • $90,700 - $141,775 • Onsite

About The Position

Noblis is seeking a full cleared (TS/SCI with Polygraph) Data Scientist to join our team 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 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 techniques to solve customer problems, using technologies such as Python.

Requirements

• Active Top-Secret SCI (TS/SCI) with Polygraph
• Bachelor's degree with three (3) years of experience - OR - associate's degree with six (6) years of experience - OR - High School diploma/GED with nine (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 Cyber data to include examples such as Shodan and Censys.IO
• Experience or knowledge working with open-source 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
• US Citizenship is required

Nice To Haves

• 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).

Responsibilities

• Working with open-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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior