Join BAE Systems' Intelligence and Security Sector and be part of an agile team that enables our employees to support our customers and their missions. As a Data Scientist, you will lead a team of highly skilled data science team. You will also develop capabilities that support and evaluate data to identify patterns, trends, and classifiers. As a BAE Systems Data Scientist, you will work at the forefront of algorithmic and scripting automation, developing and enhancing tools to establish consistent data formatting, natural language processing, scripts to find and select data, and logically aggregate data. As the team lead, you will identify capabilities and core competencies of other analysts. Solution to fill gaps in skillset on the team through analyzing current training and evaluating SOPs. Applicants should have sufficient inter-personal communication skills for collaboration and briefing capabilities for providing key findings to the customer.
May require TDY over life of the contract.
Other possible locations include Virginia, Georgia, North Carolina, Texas, Hawaii, Maryland, Germany, Italy, and South Korea. Please go to https://jobs.baesystems.com to apply for these locations.
Required Education, Experience, & Skills
MS in Data Science, Statistics, Applied Math, or related field PLUS at least 6 years of experience as member of data science team with at least a portion of the experience within the last 2 years leading data science projects.
Bachelor's degree related to the labor category and an additional 8 years of related senior experience, for a total of 12 years, as a substitute to the Master's degree.
- R or Python, and SQL proficiency;
- Deploying machine learning algorithms (and associated techniques);
- Modelling, analysis, and/or hypothesis testing using statistical techniques Data visualization and supporting tools;
- Amazon Web Services (AWS);
- Extracting, transforming, and loading large complex sets of both structured and unstructured data;
- Instantiating and executing complex queries against both relational and no-SQL data stores, to include graph databases
Preferred Education, Experience, & Skills
MS in Data Science, Statistics, Applied Math, or related field.
Two years leading data science projects.
Five years intelligence analysis experience (MOS 35/350 series or other DoD/IC equivalent).
About BAE Systems Intelligence & Security
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts – defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team—making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference.
Intelligence & Security (I&S), based in McLean, Virginia, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers. Our pride and dedication shows in everything we do—from intelligence analysis, cyber operations and IT expertise to systems development, systems integration, and operations and maintenance services. Knowing that our work enables the U.S. military and government to recognize, manage and defeat threats inspires us to push ourselves and our technologies to new levels.
At BAE Systems, we celebrate the array of skills, experiences, and perspectives our employees bring to the table. For us, differences are a source of strength. We're laser-focused on high performance, and we work hard every day to nurture an inclusive culture where all employees can innovate and thrive. Here, you will not only build your career, but you will also enjoy work-life balance, uncover new experiences, and collaborate with passionate colleagues.
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