Senior Data Scientist

Amentum is a leading global provider of technical and engineering services to government and commercial customers. We are dedicated to delivering innovative solutions to complex challenges in the defense, intelligence, and civilian markets. With 50,000 employees worldwide, we leverage our extensive experience, cutting-edge technology, and proven processes to provide exceptional value to our customers.

Amentum is currently seeking a Sr. Data Scientist to join our award-winning team. 

The Program is a premier program in the industry that advances the use of tactical and strategic Identity Intelligence tradecraft to inform decision-makers, from ground force commanders to international partners and national security policymakers. Our employees lead the Intelligence community in providing superior Identity Intelligence analysis and developing innovative data-driven solutions, supporting the customer through intelligence analysis and tradecraft proliferation. 

Responsibilities include:

-          Collaborates with stakeholders within the organization to identify opportunities for leveraging data to drive analytical solutions.

-          Mines and analyzes data from databases to drive optimization and improvement of product development, analytical techniques, and analytical assessments.

-          Develops, tests and verifies TTPs for coordinating flow of information.

-          Develops processes and tools to monitor and analyze model performance and data accuracy.

-          Trains front-end users of knowledge management tools.

-          Coordinates with various functional teams to implement models and monitor outcomes.

•          Creates predictive modeling to increase and optimize customer experiences.

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-          Proficiency in at least one of the following languages: Python, R, Java, C++, as applied to programming and manipulation of data.

-          Demonstrated experience working with one or more database structures (e.g. relational, noSQL, graph). Such expertise should include experience with database retrieval methods (e.g. SQL, database specific queries, APIs).

-          Experience creating and using advanced machine learning algorithms and statistics, regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks.

-          Knowledge and experience in statistical and data mining techniques and social network analysis.

-          Knowledge a