Data Scientist with Security Clearance

Zachary Piper Solutions is seeking a Data Scientist to support Boeing Intelligences' High Performance Computing environment for DIA and NGA across various locations in MD. This individual will be responsible for code design, data manipulation, development and deployment of sophisticated applications in an HPC environment. Clearance: TS/SCI Location: Annapolis Junction MD (1-3X/ week on-site) Responsibilities of the Data Scientist: Involvement in the analyses of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), natural language processing (NLP), 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. Analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods. Exploratory Data Analysis (EDA) Handle processing and index requests against high-volume collections of data and high-velocity data streams. Research and test novel machine learning approaches for analyzing large-scale distributed computing applications. Suggest innovative and creative concepts and ideas that would improve the overall platform Strong understanding of the most recent trends around telecom industry and technology adoption Utilize advance tools and computational skills to interpret, connect, predict, and make discoveries in complex data and deliver recommendations for business and analytic decisions. Qualifications of the Data Scientist: Active TS/SCI and be able to upgrade to a CI Poly Bachelors degree and 5+ years of relevant experience Strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications and prototypes using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments. Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, and REST. Experience with AI/ML
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 Experience with Python scripting, Pandas, Excel Experience with Jupyter Notebooks Data Analysis, Engineering and Enrichment Compensation of the Data Scientist: Total compensation based on experience level - $150,000-$210,000 depending on years of experience and education Comprehensive Benefits: Medical, Dental, Vision, 401K, PTO, Sick Leave if required by state law, and Holidays Hybrid work Contract mobility and job stability This job opens for applications on 3/17/2025. Applications for this job will be accepted for at least 30 days from the posting date.