Senior Data Scientist
About The Position
As a Senior Level Data Scientist at Boeing Intelligence and Analytics, you will be collaborating with a dynamic team to suggest innovative concepts and ideas to improve the overall data and intelligence platform. Some of your duties and responsibilities will include: Involvement in the analyses of unstructured and semi-structured data, employing advanced techniques such as latent semantic indexing (LSI), natural language processing (NLP), and exploratory data analysis (EDA). Utilizing non-traditional approaches to analyze large-scale unstructured data, visualizing results through multi-dimensional interfaces. Researching and testing novel machine learning approaches for analyzing large-scale distributed computing applications. Leveraging strong technical and computational skills to interpret complex data and deliver recommendations for business decisions. What Makes BI&A Different: As a fully owned subsidiary of The Boeing Company, BI&A offers an optimal mix of a small company environment with exceptional opportunities supported by a large corporation. Every day, Boeing Intelligence & Analytics supports global missions by building and delivering intelligence, analytics, and cyber solutions that enable users to advance national security. From hardware and software engineering solutions to analytics that keep this nation safe, we create value that meets users’ needs. With vibrant partnerships and innovative approaches, we serve the Intelligence Community through innovation and vision. We have provided our customers with the tools needed to counter evolve global and cyber threats, and to improve wartime decision-making. Our talented employees bring software development, systems engineering, and advanced analytics expertise. We offer numerous prime contract opportunities with customers headquartered in Maryland, Virginia, and the District of Columbia, as well as subcontract opportunities that align with our areas of focus and additional opportunities nationwide through our parent company. We have current open positions on awarded programs across diverse customer sets and are anticipating upcoming contract awards with a 5-year life cycle and an additional 5 option years. Our diverse portfolio allows our employees to move to other projects and teams as they gain further proficiency in their current skill set and learn new skill sets along the way. We offer hands-on access to cutting-edge technologies and a culture of technical excellence.
Requirements
- 13 Years of experience in Data Science or Engineering roles or a highly related field of work with similar scope and responsibilities.
- A Bachelor’s degree may be substituted for 4 years of experience and a Master’s Degree may be substituted for 6 years of experience.
- Active TS/SCI with CI Polygraph
- Full-time work in a SCIF is required, with flexible hours
- Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, and/or REST
- Experience with Cloud-based data analysis tools including Hadoop, Mahout, Acumulo, Hive, Impala, and/or Pig
- Experience with visual analytic tools like Microsoft Pivot, Palantir, and/or Visual Analytics
- Experience with open-source textual processing such as Lucene, Sphinx, Nutch, and/or Solr
- Experience with machine learning, algorithm analysis, and/or data clustering
- Experience with Python scripting, Pandas, Excel, and/or Jupyter Notebooks
- Programming language proficiency in Python and/or R, with SQL for database querying being essential
- Ability to build dashboards and communicate insights using data visualization tools
Nice To Haves
- Security+ or other IAT II/III level certification that is currently active
- ArcGIS automation and modeling experience
- Experience with SAFEHOUSE web GIS platform
- AI/ML knowledge of machine learning algorithms
Responsibilities
- Involvement in the analyses of unstructured and semi-structured data, employing advanced techniques such as latent semantic indexing (LSI), natural language processing (NLP), and exploratory data analysis (EDA).
- Utilizing non-traditional approaches to analyze large-scale unstructured data, visualizing results through multi-dimensional interfaces.
- Researching and testing novel machine learning approaches for analyzing large-scale distributed computing applications.
- Leveraging strong technical and computational skills to interpret complex data and deliver recommendations for business decisions.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
251-500 employees
