Scientist Data Scientist

Data Scientist

Join Life Cycle Engineering in support of the NCIS IT support services mission headquartered in Quantico, Virginia. The Information Technology Directorate (ITD) supports the NCIS core mission areas to investigate and defeat criminal, terrorist, and foreign intelligence threats by planning for and providing services through appropriate use of the people, equipment, technology, and infrastructure resources of the United States (U.S.) Navy and Marine Corps.

As a Data Scientist, you will be responsible for identifying opportunities to improve organizational outcomes using data, building and overseeing predictive models to tell stories with data that highlight client insights. This position is expected to start in Q3 of 2026.

Must have an active DoD Top‑Secret Clearance.

• Experienced in problem analysis and project management, data collection and integration, data exploration.
• Collect, analyze, and interpret large data sets. Use this information to develop data‑driven solutions to difficult business challenges.
• Experienced in a wide range of technical competencies including statistics and machine learning, coding languages, databases, machine learning, and reporting technologies.

• Bachelor's or Master's degree in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field [or equivalent work experience such as economics, engineering and physics] is [preferred/required].
• Alternate experience and education in equivalent areas such as economics, engineering or physics, is acceptable. Experience in more than one (1) area is strongly preferred.
• Minimum of ten (10) years of previous relevant experience.
• Three (3) to six (6) mid‑level relevant project experience in successfully launching, planning, and executing data science projects. Preferably in the domains of risk modelling and quality assessment.
• A specialization in text analytics, image recognition, graph analysis or other specialized ML techniques such as deep learning, etc., is preferred. Ideally, the candidates are adept in agile methodologies and well‑versed in applying Dev Ops/MLOps methods to the construction of ML and data science pipelines.
• Coding knowledge and experience in several languages: for example, R, Python, Java, C++, Excel, MATLAB, etc.
• Experience with popular database programming languages including SQL, PL/SQL, others for relational databases and upcoming non‑relational databases such as No
  
  SQL/Hadoop‑oriented databases such as Mongo
  
  DB, Cassandra, others.
• Experience with distributed data/computing tools such as Map Reduce, Hadoop, Hive, Kafka, and MySQL.
• Experience in one (1) or more of the following commercial/opensource data discovery/analysis platforms: RStudio, Spark, KNIME, Rapid Miner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft Azure
  
  ML, IBM Watson Studio or SPSS Modeler, Amazon Sage Maker, Google Cloud ML, SAP Predictive Analytics.

• Travel will be required to support this task (up to 25% travel).
• Regular physical activity to include walking, climbing stairs, bending, stooping, reaching, lifting (up to 30 pounds), and standing; occasional prolonged sitting.
• Ability to speak, read, hear and write, with or without assistance.
• Ability to use phone and computer systems, copier, fax and other office equipment.

This position description represents a summary of the major components and requirements of the outlined job. Other duties and responsibilities may be assigned or required as business needs dictate. Questions regarding this description should immediately be addressed to the department manager or to Human Resources.

Life Cycle Engineering (LCE) is a privately held, employee‑owned company with an emphasis on "doing the right thing the right way", which applies to the way we treat our customers and employees. We are proud to have been recognized as a "Best Place to Work" in Engineering and in many states and local communities in…