Data Science Specialist

Peraton•Chantilly, VA

1d•$135,000 - $216,000

About The Position

Peraton is seeking a Data Science Specialist to support advanced analytics and data modeling across medium to large datasets. The role emphasizes data cleaning and visualization, Neo4j graph database technologies, and developing solutions with one or more programming languages, such as Python or Java. The specialist will work in a classified, high-security cloud environment and collaborate using modern development practices. The position includes cleaning, preprocessing, visualizing, and analyzing datasets; developing and optimizing Neo4j solutions; building software components; using virtualization tools such as Docker; collaborating with cross-functional teams; and documenting datasets, queries, visualizations, and solutions. Participation in Agile development frameworks is desired.

Requirements

Active TS/SCI clearance with relevant Polygraph.
Minimum of 8 years of experience with a BS/BA, 6 years with an MS/MA, or 3 years with a PhD; an additional four years of experience may be considered in lieu of a degree.
Demonstrated experience cleaning and visualizing medium to large datasets.
Knowledge of and experience with Neo4j graph database technologies and Cypher query language.
Experience developing in at least one programming language, such as Python or Java.
Understanding of cloud infrastructure in a classified, high-security environment.
Experience operating modern software virtualization tools, such as Docker.

Nice To Haves

Experience with Agile development frameworks.
Experience visualizing data in Tableau.

Responsibilities

Clean and preprocess medium to large datasets to ensure accuracy, usability, and reliability.
Visualize and analyze data using appropriate tools and statistical or analytical methods.
Develop and optimize Neo4j graph database solutions, including writing efficient Cypher queries and modeling relationships and graph structures for analytics and use cases.
Develop software components in at least one programming language, such as Python or Java.
Work within classified cloud infrastructure and follow security and compliance requirements.
Use software virtualization tools such as Docker to support reproducible development and deployments.
Collaborate with cross-functional teams to deliver analytics outcomes and operational improvements.
Maintain documentation for datasets, queries, visualizations, and developed solutions.
Contribute within Agile development frameworks and iterative planning cycles (desired).