Data Scientist, Senior

Booz Allen Hamilton•Aurora, CO

2d•$99,000 - $225,000•Remote

About The Position

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research to national intelligence, we need you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait.

Requirements

8+ years of experience designing, developing, and maintaining domain-specific ontologies to enable semantic representation of data inputs
Experience designing, developing, and maintaining knowledge graphs leveraging domain-specific ontologies to support data querying, data visualization, and integration of intelligence functions
Experience applying semantic web standards such as RDF, OWL, and SPARQL to knowledge model entities, relationships, and vocabularies in accordance with industry and government data standards
Active TS/SCI clearance; willingness to take a polygraph exam
Bachelor's degree and 8+ years of experience designing, developing, and maintaining domain-specific ontologies to enable semantic representation of data inputs, or 12+ years of experience designing, developing, and maintaining domain-specific ontologies to enable semantic representation of data inputs in lieu of a degree

Nice To Haves

Experience collaborating with team members to enhance semantic data retrieval and reasoning across knowledge graphs through development and optimization of data queries via multiple protocols such as GraphQL, SPARQL, SHACL, and SQL
Experience collaborating with team members to evaluate effectiveness of exploratory efforts to automate ontology and associated component generation leveraging qualitative and quantitative metrics
Ability to collaborate with team members to validate and refine exploratory efforts to automate ontologies and associated components
Ability to work a non-standard or shift schedule
Possession of excellent written and verbal communication skills
TS/SCI clearance with a polygraph

Responsibilities

Use leadership skills and data science expertise to create real-world impact.
Work closely with clients to understand their questions and needs.
Dig into data-rich environments to find pieces of their information puzzle.
Guide teammates and lead the development of algorithms and systems.
Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise clients.
Provide a deep understanding of the data, what it all means, and how it can be used.