Human Capital Analytics Specialist

1 week ago

Washington, Washington, D.C., United States Logistics Management Institute Full time
Job Summary

LMI is seeking a skilled Human Capital Analytics SME to join our team in McLean, VA or Bethesda, MD.

The ideal candidate will have a strong background in data science, mathematics, and statistics, with experience in working with large datasets and developing advanced analytics solutions.

The successful candidate will be responsible for analyzing unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.

They will also be responsible for exercising creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces.

Additionally, the candidate will have the ability to utilize advanced tools and computational skills to interpret, connect, predict, and make discoveries in complex data and deliver recommendations for business and analytic decisions.

Experience with machine learning, algorithm analysis, and data clustering is highly desirable.

The candidate will work closely with junior Data Scientists to elevate their skills and contribute to the development of advanced analytics solutions.

Requirements

  • Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline with 18 years of experience or Masters degree and 10 years of experience.
  • Strong engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, or Data Science.
  • Proficiency with programming languages such as Python (Pyspark, Pandas) SQL, R or similar languages.
  • Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and to communicate findings and relate them back to how your insights create business impact.
  • Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections.
  • 5–8 years of experience in the field.
  • Ability to work effectively in teams of technical and non-technical individuals.
  • Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users.
  • Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision.

Clearance Requirements

TS/SCI with Polygraph.

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