Work with Senior Data Scientist to analyze 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.
Handle processing and index requests against high-volume collections of data and high-velocity data streams.
Has the ability to utilize advance 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 more junior Data Scientists to elevate skills for breath and depth in the field.
REQUIRED QUALIFICATIONS:
Requires BA/BS and 3+ years of experience or no degree and 9+ years of experience.
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.
Handling processing and index requests against high-volume collections of data and high-velocity data streams.
Using advance 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.
Ability to mentor more junior Data Scientists to elevate skills for breath and depth in the field.
CLEARANCE:
TS/SCI with CI Poly minimum
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