Data Scientist/Engineer - Clearance Required

Profile

OverviewnLMI is a consulting firm dedicated to advancing the management of the government. Our clients value our specialized services in logistics, management advisory services, advanced analytics, and digital services supporting the defense, national security, and health markets. We believe the government can make a difference, and we seek talented, hardworking people who share that conviction. We offer a competitive salary, a generous retirement plan, an unlimited leave policy, a focus on continued development including a robust educational reimbursement program, flexible work schedules, and programs to support work-life balance. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.n nLMI is seeking a Data Science experienced professional. This position is within the Advanced Analytics organization of a government-consulting firm headquartered in Tysons, VA. Work location is remote, supporting a customer located in Huntsville, AL. The Data Scientist will work with an assigned government lead to accomplish day-to-day task management from higher headquarters and key stakeholders. The Data Scientist role is a requirement from AMCu2019s Logistics Data Analysis Center (LDAC).nResponsibilitiesnThe selected candidateu2019s primary responsibility will be to assist LDAC in the capture and implementation of authoritative data sources in synchronization of ALD (Army Leadership Dashboard) effort. The Data Scientist will be responsible for conducting data capture and analyzing a variety of data sources across the Army to better understand the data. The work will also entail the development of data artifacts to support the ADS (Authoritative Data Source) process for validating authoritative data candidates.n Duties may include:nn Conduct data collection, organization, and analysis for various data formatsn Apply analytical techniques, such as statistical analysis, modeling, forecasting and measurement, in innovative ways to understand and validate data sourcesn Determine appropriate sample sizes and sources for authoritative data candidatesn Assist in development of transitional and u201cto-beu201d data architecture in support of the Armyu2019s Leadership Dashboard BI Visionn Construct physical and logical models as symbolic representations of a process, system, data models via mathematical, statistical, computer or other techniquesn Determine measures of effectivenessn Ensure that data capture efforts are in synchronization with the needs of the ADS processn Collaborate with stakeholders, business representatives, solution architects, system architects, and subject-matter experts to gather artifacts from authoritative data sourcesn Attend meetings as required on behalf of LDAC and provide technical analysis of meetings and documents to support the LDAC SEPn Work with the existing service delivery, engineering and enterprise operations teams to support ongoing processes, activities, and the business missionn Support Integrated Product Teams (IPTs) with Subject-Matter Experts regarding enterprise business intelligence (BI) solutions, ERPs, and EAn Ability to analyze and review PySpark implementation to ensure logical and physical implementation of data sources in ALDnnQualificationsnQUALIFICATIONS:n nn Bacheloru2019s Degree in Computer Science, Data Science, Mathematics, Information Technology, Industrial Engineering, or other technical discipline, including substantial competence in college-level mathematics or statistics, such as actuarial science, economics, computer science, or engineering.n Must possess an active DoD Secret Clearance.n 5-10 yearsu2019 experience in data analysis or related fieldn Expertise in data analysis, data engineering, data science, and computer programmingn Sufficient knowledge of applied mathematics to understand and use the fundamental concepts and techniques of operations methods of analysisn Experience working with tools, including object-oriented programming (Python), computational analysis tools (R, MATLAB), and associated data science libraries (Spark, scikit-learn)n Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connectionsn Vast knowledge of Army systems and Logistics data analytics is requiredn Vast knowledge of Medical, Installation, and/or Financial data analytics is desiredn Experience with AWS or other cloud environments is a plusnnCandidate must possess the following skills:nSuperior written and verbal communication skills, including the ability to compose, write and edit a variety of general business correspondence, management reports, technical presentations, training material, proposals and position papers.nn Must be comfortable interacting with key leadership, be articulate, and be proactive. n Must be able to work in a highly charged and fast-paced environment to prioritize and complete assigned tasks based on guidance from senior leadership. Interacts with staff at all levels and across organizational teams. n Must possess strong analytical and creative thinking to support the development of principles, products, concepts, methods, approaches, and techniques to solve operational problems, or provide the means of exploiting the application of science in operational areas.n Knowledge and proficiency in operations concepts and practices, mathematical and statistical disciplines, modeling and programming techniques as well as other scientific methods to enhance problem-solving. n Must possess working knowledge of Python, Spark and PySpark.n Must possess an active DoD Secret security clearancennAdditional areas of experience may include: nn Decision Supportn Knowledge Discoveryn Matlab, Minitab, Arena, Rn Theory of Probability, Statisticsn Human Factorsn Data engineeringn Data sciencen Data modelingnn#LI-SH1

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