Life Cycle Engineering · 1 hour ago
Data Scientist
Quantico, VA
Full-time
Onsite
Senior Level, Lead/Staff
10+ years expLife Cycle Engineering is a privately held, employee-owned company that focuses on enabling people and organizations to achieve their full potential. As a Data Scientist, you will identify opportunities to improve organizational outcomes using data and oversee predictive models to provide insights to clients.
Information TechnologyRoboticsSoftwareVirtual Reality
No H1B
Security Clearance RequiredU.S. Citizen Only
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
Qualification
Required
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
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
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
Preferred
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
Experience in more than one (1) area is strongly preferred
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
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…
Company
Life Cycle Engineering
Life Cycle Engineering uses engineering logic to solve business problems for industry, public entities and the military.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Bob Fei
President and CEO
Recent News
FoodProcessing.com
2025-08-13
Company data provided by crunchbase