New

Data Scientist

Life Cycle Engineering
sick time, 401(k)
United States, Virginia, Quantico
Jan 28, 2026
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. Position Summary: As a Data Scientist, you will be responsible for identifying opportunities to improve organizational outcomes using data, builds and overseeing predictive models to tell stories with data that highlight Client insights Clearance Requirements: Must have an active DoD Top-Secret Clearance. Essential Functions and Responsibilities: 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. Required Education, Skills, and Experience: 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 - of 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 DevOps/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 nonrelational databases such as NoSQL/Hadoop-oriented databases such as MongoDB, Cassandra, others. Experience with distributed data/computing tools such as MapReduce, Hadoop, Hive, Kafka, and MySQL Experience in one (1) or more of the following commercial/opensource data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics. Physical Demands and Expectations: 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 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 which we work! Learn more below and at www.lce.com. Mission 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. Culture 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. Benefits 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 (ESOP) Paid Vacation, Holiday, Sick Leave Continuing Education and Professional Development programs at all levels Flexible Schedules and Relaxed Dress Code Employer-sponsored events, social collaboration, and open communication Free access to an extensive online training library, including certification prep Bonus Program for outstanding contributions, Employee Referral Program, numerous Recognition Opportunities, and more... *Benefits may vary by business unit and location. Life Cycle Engineering is an equal opportunity employer and makes all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability, genetic information, application for or service in the military or status as a disabled veteran or veteran, because of or on the basis of pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation, and any other status protected by applicable state or federal law.