Cleared Data Scientist; Levels

Responsibilities

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 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.

• 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.

• Active Top‑Secret SCI (TS/SCI) with Polygraph

• Experience with machine learning, statistical modeling, and/or time‑series forecasting

• Proficiency in data science tools and technologies such as Python, SQL/Postgre
  
  SQL, 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

• Level III: Bachelor's degree with five (5) years of experience - OR - associate's degree with eight (8) years of experience - OR - High School diploma/GED with eleven (11) years of experience

• Compensation: $120,700 - $188,725

• Level IV: Bachelor's degree with eight (8) years of experience - OR - associate's degree with eleven (11) years of experience - OR - High School diploma/GED with fourteen (14) years of experience

• Compensation: $146,200 - $228,400

#Highly Cleared

• 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

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 lis.org ((Use the "Apply for this Job" box below).)

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