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Location: Washington DC / Can be remote from the US but will need to travel to DC.
Roles and Responsibilities
- Analyze unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and apply analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
- Apply creative, non-traditional approaches to large-scale analysis of unstructured data supporting high-value use cases visualized through multi-dimensional interfaces.
- Handle processing and indexing requests against high-volume data collections and high-velocity data streams.
- Utilize advanced tools and computational skills to interpret, connect, predict, and discover insights in complex data, providing recommendations for business and analytic decisions.
- Experience with machine learning, algorithm analysis, and data clustering.
- Collaborate with visualization specialists to ensure outputs aid understanding of complex problems.
Required Skills and Experience
- BA/BS and 4+ years of experience or equivalent education and experience.
- Experience in two or more of the following: Python, Machine Learning, Natural Language Processing, Computer Vision, Neural Networks.
- Proficient in statistical and data visualization tools such as PySpark, Databricks, MLFlow, R, Pandas, Jupyter, Tableau.
- Proven experience solving problems with structured and unstructured data.
- Must be a U.S. Citizen capable of obtaining and maintaining a government suitability clearance. Permanent Residents or Visa Holders are not eligible.
Additional Details
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: IT Services and IT Consulting
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