Senior Data Scientist

Noblis•Reston, VA

About The Position

Noblis is seeking a fully cleared Data Scientist with a TS/SCI and a Polygraph to join our team in Reston, 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, 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 support 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) clearance with a current Polygraph
Bachelor’s degree with 8 years of related experience; OR Master's degree with 7 years of related experience; OR associate’s degree with 11 years of related experience; OR High School diploma/GED with 14 years of related experience
Experience with machine learning, statistical modeling, and/or time-series forecasting
Proficiency in data science tools and technologies such as Python, SQL/PostgreSQL, Spark, and Git (NiFi is a plus)
Experience working with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure
Experience working with Cyber data to include examples such as Shodan and Censys.IO
Experience with data visualization tools (e.g., Tableau)
Experience working with open-source datasets
Demonstrated ability to clean, manage, and optimize large-scale datasets
Experience analyzing data in Python
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).
Advanced degree in a data science equivalent field or sub-field

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.