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- Job Duties:
- Involved in the analysis of structured, 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.
- 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
- Must be a U.S
- TS/SCI Clearance with polygraph
- Minimum 5 years of experience
- Bachelor's degree in Computer Science or related field
- Experience with software development, either an open-source enterprise software development stack (Java/Linux/Ruby/Python) or a Windows development stack (.NET, C#, C++)
- Experience NVIDIA Technology & frameworks
- 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
- Ability to build Python scripts and packages that will be used by the data analysts
- Expertise in maintaining and deploying a notebook-based data science environment (JupyterHub).
- Experience in advanced Python data science packages (Pandas, NetworkX, Scikit-Learn, PyTorch or TensorFlow/Keras, Matplotlib or Plotly, etc.)
Senior Data Scientist with Security Clearance - Columbia, MD, United States - IntelliGenesis LLC
Description
Job Description Maximize your potential with IntelliGenesis IntelliGenesis LLC has supported Department of Defense and Intelligence Community customers since 2007 by providing next generation capabilities for: Offensive & Defensive Cyber Services, National Security Cyber Training, Data Science & Decision-Making Analytics, Intelligence Analysis, and Intelligence Solutions EngineeringIntelliGenesis offers an extremely competitive and generous benefits package that provides employees with both professional and personal satisfaction and growth while keeping focus on supporting the mission
Additionally, our employees enjoy a company culture that emphasizes the importance of family and work/life balance
Our benefits include:
Medical, Dental and Vision Insurance, 25 days of PTO with the option to purchase up to an additional 5 days, 12 paid holidays, up to 10% 401k match, Annual Individual Technology Budget, Unlimited Education/Training Reimbursements, and much more *This is to pipeline candidates for upcoming work to be awarded at a future date
Required Skills:
Desired Skills:
The Python scripts will use supervised and unsupervised ML (both text and image-based machine learning), natural language processing (named entity extraction, summarization, etc.), and network analysis (social network analysis, centrality analysis, dynamic network analysis).