- Make discoveries in the world of big data
- Collaborate with multiple stakeholders to assess customer requirements for the Command's artificial intelligence and machine learning directorate
- Develop and employ advanced predictive analysis, ML algorithms, data visualizations, and other data science methods such as k-NN, Naive Bayes, SVM, Decision Forests, etc., to derive meaningful insight to advance the mission.
- Research, generate, and recommend data science-based solutions that support customer requirements
- 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.
- Requires strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments
- This is a full-time position working onsite during normal daytime business hours Qualifications What you'll need:
- BS and 8 years, MS and 6 years, Phd and 3 years or in lieu of degree, 12 years of applicable and or military related work experience will be acceptable.
- Active TS/SCI security clearance Desired qualifications:
- Experience with software development, either an open-source enterprise software development stack (Python/R/mySQL/Java/Linux/Ruby) or a Windows development stack (.NET, C#, C++)
- Experience with Databricks
- Experience with AWS
- Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, SOAP and REST
- Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, and similar
- Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics
- Experience with open-source textual processing such as Lucene, Sphinx, Nutch or Solr
- Experience with entity extraction and conceptual search technologies such as LSI, LDA, etc
- Experience with machine learning, algorithm analysis, and data clustering
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Description
Seeking a Senior Data Scientist to join our team as a key member of the Engineering team providing subject matter expertise Key responsibilities include supporting our customers and their artificial intelligence and machine learning requirements through complex analytics, data science activities, ML algorithms, maximize use of Generative AI approaches and the application of AIWhat you'll do:
