Data Scientist

About the role

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. Collaboration with cross-functional teams including data scientists, software engineers, subject matter experts, and cyber analysts is required to apply advanced analytics, machine learning, and AI techniques. Model lifecycle management, including versioning and vulnerability identification, is also part of the role. Your work will directly contribute to capabilities such as object detection, data triage, search optimization, inference, facial recognition, behavior analysis, and automated decision-making.

Responsibilities

• Work with open-source data and statistical software packages, cloud services, and AI/ML technologies to find patterns and relationships in large volumes of data.
• Analyze and interpret large, complex datasets.
• Explore and model data to uncover patterns and features of interest.
• Design, build, and train machine learning models.
• Collect, curate, and process large-scale structured and unstructured datasets.
• Research, implement, and document analytical approaches and outcomes.
• Utilize high-performance computing resources, including GPU clusters and cloud-based platforms.
• Apply data visualization (e.g., Tableau) to communicate findings to stakeholders.

Required Qualifications

• Active Top Secret/SCI (TS/SCI) clearance with a current Polygraph.
• U.S. Citizenship is required.
• 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 machine learning, statistical modeling, and time-series forecasting.
• Proficiency in data science tools and technologies, including Python, SQL/PostgreSQL, Spark, and Git.
• Experience working with cloud platforms such as AWS, Google Cloud Platform (GCP), and Microsoft Azure.
• Experience working with cyber data, including Shodan and Censys.IO.
• Experience with data visualization tools, such as Tableau.
• Experience working with open-source datasets.
• Demonstrated ability to clean, manage, and optimize large-scale datasets.
• Strong experience analyzing data in Python.
• Fundamental understanding of a broad range of AI techniques and the ability to select and apply appropriate techniques to solve specific problems.
• Ability to effectively communicate technical concepts to a variety of audiences verbally and in writing.

Desired Qualifications

• 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.