Data Scientist - Sr
Indexed description
Work Schedule: Standard 40-hour work week between 0600 and 1800, Monday through Friday. Ability to work shift work if necessary.
Essential Responsibilities:
- Perform complex statistical analysis and data modeling to extract actionable insights. from intelligence datasets
- Design and implement advanced data visualizations to enable all aspects of JIOC intelligence operations
- Develop and validate statistical models that identify patterns, trends, and relationships within diverse intelligence sources
- Create and contribute to implementing AI/ML algorithms and AI/ML-enabled systems in support of JIOC intelligence operations
- Conduct exploratory data analysis across internal and external sources to support intelligence analysis
- Develop automated processes for data integration and conditioning to enhance all-source analysis
- Collaborate with analysts and computer scientists to design and implement new data processes
- Create algorithms and scripts to automate manual tasks and enhance analytical capabilities
- Improve data quality, search capabilities, and predictive. models to support intelligence operations
- Apply experimental design principles to test hypotheses and evaluate intelligence processes
- Evaluate existing data capabilities and rec01mnend solutions for the intelligence enterprise
- Perform systems analysis to define specifications for new or enhanced intelligence databases
- Identify redundancies and develop solutions for efficient data integration
- Work with intelligence analysts and operators to determine requirements and create effective data solutions
- Actively participate in JIOC intelligence plam1ing conferences and exercises, J2 working groups, intelligence system capability development meetings, Joint and national-level intelligence coordination boards, and technical exchange meetings with mission partners
- Advanced expertise in multiple programming languages and analytical frameworks
- Expert knowledge of machine learning algorithms, deep learning, and artificial intelligence applications
- Comprehensive understanding of large-scale multi-INT analytics
- Demonstrated success implementing advanced predictive models in operational environments
- Experience developing custom analytical solutions for complex intelligence challenges
- Advanced proficiency with cloud computing platforms and big data architectures
- Experience leading data science initiatives and mentoring junior data scientists
- Strong understanding of the intelligence enterprise and mission requirements
- Proven ability to translate complex analytical findings into operational impact
- Experience with DevOps practices and production deployment of data science solutions
- TS/SCI. Ability to take a poly if requested
- Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field
- 7-10 years of experience in data science, analytics, or related fields, with demonstrated impact on operational capabilities.
Quality - Quality is the foundation for the management of our business and the keystone to our goal of customer satisfaction. It is our policy to consistently provide services that meet customer expectations. Accordingly, each employee must conform to the Amentum Quality Policy and carry out job activities in compliance with applicable Amentum Quality System documents and customer contracts. Each employee must read and understand his/her Quality Management and Customer Satisfaction responsibilities.
Procedure Compliance - Each employee must read, understand and implement the general and specific operational, safety, quality and environmental requirements of all plans, procedures and policies pertaining to his/her job.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
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