below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$126,800–$184,787.
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
1660 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 908 roles with salary data.
Data Scientist, Senior
As a Data Scientist, Senior, you will join a team dedicated to transforming complex, disparate data sets into objective answers to solve global challenges. You will work closely with clients to understand their specific needs, digging into data-rich environments to identify key information pieces. Your daily responsibilities include leading the development of algorithms and systems, guiding teammates, and providing deep data insights to support informed decision-making. You will design, develop, and maintain knowledge graphs using domain-specific ontologies to support data querying and visualization. Required technical skills include applying semantic web standards such as RDF, OWL, and SPARQL. You may also utilize GraphQL, SHACL, and SQL to optimize data retrieval and reasoning across knowledge graphs within various technical and business contexts.
What does a Data Scientist earn?
Median $171000 from 347 postings across 66 companies.
Design, develop, and maintain knowledge graphs using domain-specific ontologies.
Apply semantic web standards like 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.
Analyze structured and unstructured data to provide deep insights and actionable information.
Evaluate and automate ontology generation using qualitative and quantitative metrics.
Optimize data queries via multiple protocols including GraphQL, SHACL, and SQL.
What we're looking for
Experience designing, developing, and maintaining knowledge graphs leveraging domain-specific ontologies to support data querying, visualization, and intelligence integration.
Experience applying semantic web standards such as RDF, OWL, and SPARQL to model entities, relationships, 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.
12+ years of experience designing, developing, and maintaining domain-specific ontologies in lieu of a degree.
Experience enhancing semantic data retrieval and reasoning via GraphQL, SPARQL, SHACL, and SQL (preferred).
Experience evaluating and validating efforts to automate ontology and component generation using qualitative and quantitative metrics (preferred).
Ability to work a non-standard or shift schedule (preferred).
Machine Learning
Artificial Intelligence
LLMs
Agentic AI
Data Engineering
Data Warehousing
Data Mining
Statistics
Probability Modeling
TEVV
Information Science
Mathematics
Accuracy Evaluation
Testing
Validation
IoT
Machine Learning
Artificial Intelligence
LLMs
Agentic AI
Python
R
SQL
NoSQL
Spark
Hadoop
Kafka
Hive
EMR
MapReduce
MySQL
Gurobi
Plotly
Seaborn
ggplot2
Data Engineering
Data Warehousing
Statistics
Probability Modeling
Data Mining
Machine Learning
Artificial Intelligence
LLMs
Agentic AI
Python
R
SQL
NoSQL
Spark
Hadoop
Kafka
Hive
EMR
MapReduce
Gurobi
MySQL
Plotly
Seaborn
ggplot2
Data Engineering
Data Warehousing
Statistics
Probability Modeling
Data Mining
Machine Learning
Artificial Intelligence
LLMs
Agentic AI
Python
R
SQL
NoSQL
Spark
Hadoop
Kafka
Hive
EMR
MapReduce
Gurobi
MySQL
Plotly
Seaborn
ggplot2
Data Engineering
Data Warehousing
Statistics
Probability Modeling
Data Mining