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.
As a Data Scientist, Senior, you will join a team focused on transforming complex, large-scale structured and unstructured data into actionable information to solve global challenges in areas like fraud detection and national intelligence. You will lead the development of algorithms and systems while collaborating with clients to identify key information within data-rich environments. Your daily work involves designing and maintaining domain-specific ontologies for semantic representation and building knowledge graphs to support data querying, visualization, and integration of intelligence functions. You will utilize a technical stack including RDF, OWL, SPARQL, GraphQL, SHACL, and SQL. The role requires expertise in automating ontology generation and optimizing data queries across multiple protocols. Candidates must possess an active TS/SCI clearance and demonstrate proficiency in using semantic web standards to provide deep insights from disparate data points for informed decision-making.
What does a Data Scientist earn?
Median $162025 from 276 postings across 61 companies.
Design and maintain domain-specific ontologies to enable semantic representation of data inputs.
Develop and maintain knowledge graphs to support data querying, visualization, and integration of intelligence functions.
Apply semantic web standards such as RDF, OWL, and SPARQL to model entities and relationships.
Lead the development of algorithms and systems to turn disparate data points into actionable information.
Translate complex datasets into objective answers to advise clients on informed decision-making.
Optimize data queries using multiple protocols including GraphQL, SHACL, and SQL.
Evaluate and refine automated processes for ontology and component generation using qualitative and quantitative metrics.
What we're looking for
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 designing, developing, and maintaining knowledge graphs to support data querying, visualization, and integration of intelligence functions.
Experience applying semantic web standards such as RDF, OWL, and SPARQL to knowledge model entities, relationships, and vocabularies.
Experience collaborating with team members to enhance semantic data retrieval through optimization of queries via GraphQL, SPARQL, SHACL, and SQL (preferred).
Experience evaluating or validating efforts to automate ontology and associated component generation using qualitative and quantitative metrics (preferred).
Ability to work a non-standard or shift schedule (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
Machine Learning
Artificial Intelligence
LLMs
Agentic AI
Python
R
SQL
NoSQL
Data Engineering
Data Warehousing
MapReduce
Hadoop
Hive
EMR
Kafka
Spark
Gurobi
MySQL
Plotly
Seaborn
ggplot2
Statistics
Probability Modeling