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 or required.
• Alternate experience and education in equivalent areas such as economics, engineering or physics, is acceptable. Experience in more than one area is strongly preferred.
• Minimum of ten (10) years of previous relevant experience.
• Three (3) to six (6) years of mid-level relevant project experience in successfully launching, planning, and executing data science projects, preferably in risk modelling and quality assessment.
• A specialization in text analytics, image recognition, graph analysis or other specialized ML techniques is preferred. Ideally, 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: R, Python, Java, C++, Excel, MATLAB, etc.
• Experience with database programming languages including SQL, PL/SQL, and experience with No
  
  SQL/Hadoop-oriented databases such as Mongo
  
  DB, Cassandra, etc.
• Experience with distributed data/computing tools such as Map Reduce, Hadoop, Hive, Kafka, and MySQL.
• Experience in one or more data discovery/analysis platforms such as RStudio, Spark, KNIME, Rapid Miner, Alteryx, Dataiku, H2O, SAS Enterprise Miner, 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 is 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". We are proud to have been recognized as a "Best Place to Work" in Engineering and in many states and local communities in which we work. Learn more at

Our mission is to enable people and organizations to achieve their full potential. As a professional services organization, our mission is focused on our clients' people and organizations. It is our company's cornerstone belief that we will not lead the industry in assisting our clients unless we excel at helping our own people and teams reach their full potential.

Our corporate culture encourages personal and professional growth because LCE's success depends on the talent, innovation, professionalism, and commitment of its employees. LCE is a strengths-based organization focused on turning individual talents into strengths and then turning individual strengths into organizational performance that supports our clients' success.

• Affordable Medical/Dental/Vision Plans for employees and their families
• Free Employee Life and Disability Insurance, with supplemental coverage options available
• Health Savings Account and Flexible Savings Account options
• Company matched 401(k) & company-funded Employee Stock Ownership Program…