This role pays more than
68%
of similar roles. Most pay
$126,800–$180,000
— the shaded band above.
At the midpoint, this role pays about
$162k
versus about
$153k
for comparable roles.
Based on 240 similar postings.
Employer
About Booz Allen Hamilton
Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has
802 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 783 roles with salary data.
Data Scientist, Senior serves on a team focused on transforming complex, large-scale structured and unstructured data into actionable information to solve global challenges across various sectors. In this role, you will lead the development of algorithms and systems while collaborating closely with clients to identify their specific needs within data-rich environments. You will be responsible for designing, developing, and maintaining knowledge graphs using domain-specific ontologies to support data querying, visualization, and integration of intelligence functions. The work involves applying semantic web standards such as RDF, OWL, and SPARQL to model entities and relationships. Additionally, you may utilize GraphQL, SHACL, and SQL to optimize data retrieval and reasoning. This position requires an active TS/SCI clearance and expertise in automating ontology components through both qualitative and quantitative metrics to provide objective answers for informed decision-making.
What does a Data Scientist earn?
Median $162025 from 276 postings across 61 companies.
Design, develop, and maintain knowledge graphs using domain-specific ontologies.
Apply semantic web standards such as RDF, OWL, and SPARQL to model entities and relationships.
Lead the development of algorithms and systems to solve complex data problems.
Translate disparate data points into objective answers to advise clients on informed decisions.
Interpret complex datasets to provide deep understanding of what the information means for the client.
Optimize data queries across multiple protocols including GraphQL, SPARQL, SHACL, and SQL.
Evaluate and refine automated processes for ontology and component generation using qualitative and quantitative metrics.
What we're looking for
Experience designing, developing, and maintaining knowledge graphs using domain-specific ontologies for data querying, visualization, and integration.
Experience applying semantic web standards such as RDF, OWL, and SPARQL to knowledge model entities and vocabularies.
Active TS/SCI clearance and willingness to take a polygraph exam.
Bachelor's degree and 8+ years of experience designing, developing, and maintaining domain-specific ontologies for semantic representation of data inputs.
12+ years of experience designing, developing, and maintaining domain-specific ontologies in lieu of a bachelor's degree.
Experience optimizing data queries via protocols such as GraphQL, SPARQL, SHACL, and SQL (preferred).
Ability to evaluate and refine efforts to automate ontology generation using qualitative and quantitative metrics (preferred).
Excellent written and verbal communication skills (preferred).
Python
R
SQL
Machine Learning
Deep Learning
PyTorch
TensorFlow
Keras
RAG
ETL
Git
CI/CD
Jenkins
Hadoop
Spark
Kafka
Tableau
Power BI
Kibana
Plotly
Seaborn
ggplot2
NoSQL
MySQL