Booz Allen
Ontologist
Neural analysis suggests this role is
optimal for Senior candidates.
“Ontologist at Booz Allen. Skills: Ontology, Semantic data modeling, SPARQL, Machine Learning. Explore data. Clean data”
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
5+ years data exploration, 5+ years data cleaning, 5+ years data analysis, 5+ years data visualization, 5+ years data mining, 5+ years statistical programming, 5+ years general-purpose programming, Experience Java, Experience Python, Experience Bash scripting, Experience SPARQL queries, Experience ontology design, Experience semantic data modeling, Experience W3C standards, Experience RDF, Experience OWL, Experience SHACL, Experience BFO, Experience CCO, Experience NLP, Experience text mining, Experience machine learning, Bachelor's degree
Nice to Have
Experience ESRI data tools, Experience ArcGIS, Experience DevSecOps practices, Experience Git, Experience CI/CD pipelines, Master's degree
What You'll Do.
Develop ontology-driven applications
Develop SPARQL queries
Apply text mining techniques
Apply machine learning techniques
Make informed decisions
Lead algorithm development
Lead system development
Use tools and frameworks
Turn data points into answers
How You'll Work.
Team & Collaboration
Guide teammates
Full Job Description
Ontologist **The Opportunity:** 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. **You Have:** * 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * 5+ years of experience with statistical and general-purpose programming languages for data analysis * Experience with Java and Python for ontology-driven application development * Experience with Bash scripting for automation tasks * Experience writing advanced SPARQL queries * Experience in ontology design, semantic data modeling, and SPARQL query development * Experience with W3C standards, including RDF, OWL, and SHACL, and supporting frameworks such as Basic Formal Ontology (BFO) and Common Core Ontologies (CCO) * Experience with na
Applying for this Ontologist role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Booz Allen?
Real rants from real employees. Read before you apply.