Data Scientist

Data Scientist Location: Washington DC / Can be remote from the US but will need to travel to DC Roles and Responsibilities Involved in the analysis of 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.

Exercises 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.

Handle processing and index requests against high-volume collections of data and high-velocity data streams.

Has 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.

Work with visualization specialist to ensure output is captured to help understand complex problems.

Required Skills and Experience BA/BS and 4+ years of experience or equivalent experience and education Experience in two or more of the following: Python, Machine Learning, Natural Language Processing, Computer Vision, Neural Networks Experienced in applying statistical and data visualization skills Experience utilizing PySpark, Databricks, MLFlow, R, Pandas, Jupyter, Tableau Demonstrated experience in solving problems with structured and unstructured data Must be a U.S.

Citizen with the ability to obtain and maintain a government suitability clearance, further may be needed to pursue more clearances.

Permanent Residents or Visa Holders cannot be considered.