Data Scientist

Data Scientist

The Opportunity:

Join a team focused on delivering advanced intelligence, surveillance, and reconnaissance (ISR) solutions for mission-critical environments. Our goal is to leverage data science, machine learning, and semantic technologies to empower operators and decision-makers with interoperable, standards-compliant data solutions to meet emerging challenges on a global scale.

We are seeking a highly skilled Data Scientist to support cutting-edge data interoperability initiatives within dynamic operational environments. This role will focus on delivering Air Force (AF), Department of War (DoW), and Intelligence Community (IC) compliant solutions for structured mission data, supporting operations through improved interoperability of data systems. You will work directly with key technical and operational stakeholders to identify challenges, develop innovative solutions, and operationalize data workflows to meet mission requirements.

What You’ll Do:

• Develop and implement data interoperability solutions to enable seamless interaction and usability of data across systems while adhering to DoW, AF, IC governance and compliance standards.

• Conduct exploratory data analysis (EDA) and apply data science techniques, such as anomaly detection, to analyze and extract actionable insights from various datasets.

• Design, build, and operationalize structured data models, taxonomies, and ontologies that comply with defined standards and mission requirements.

• Translate unstructured and semi-structured data into actionable, normalized, and interoperable formats to improve operational and analytical workflows.

• Create and implement IC-compliant taxonomy and ontology frameworks for organizing and classifying mission data.

• Act as a bridge between technical developers and operators to ensure workflows and solutions meet mission objectives.

• Write and refine data structuring requirements, providing expertise to improve codification and standardization efforts.

• Represent organizational priorities in interactions with stakeholders while effectively communicating challenges, initiatives, and potential solutions to leadership.

Join us. The world can’t wait.  

You Have:   

• 3+ years of experience with Python and performing exploratory data analysis (EDA) tasks, including anomaly detection techniques

• 3+ years of experience with solution development, leveraging structured data models, such as taxonomies and ontologies, and ensuring data is interoperable across systems

• 3+ years of experience in developing and implementing solutions using APIs and SDKs

• 3+ years of experience in structuring and normalizing data, including in complex operational settings or workflows requiring machine-level compatibility

• Ability to collaborate with mission stakeholders, technical developers, and operational users to ensure effective solutions

• Ability to summarize findings and explain technical concepts clearly to both technical and non-technical stakeholders

• Ability to learn and integrate new tools or resources as needed

• Ability to be detail-oriented, self-driven, and work independently while meeting deadlines and objectives

• Top Secret clearance

• Bachelor’s degree in Data Science, Information Science, Computer Science, or Engineering

Nice If You Have:   

• Experience developing semantic models for machine-to-machine interoperability, taxonomies, or data standardization efforts

• Experience with semantic web technologies, such as RDF, OWL, JSON-LD, SKOS, and SHACL

• Experience with cloud platforms, such as AWS, and working in agile environments using tools, such as JIRA or Confluence

• Experience collaborating with cross-functional teams in high-priority, mission-driven settings

• Knowledge of data processing workflows in operational ISR environments

• Knowledge of geospatial data formats and concepts, such as GeoJSON or WKT, knowledge graphs, and ISR-specific data flows used in specialized geospatial environments, tools and software

• Knowledge of IC-compliant frameworks and requirements for data handling

• Knowledge of event-driven data design patterns and streaming technologies or workflows offsets to support integration workflows

• Possession of excellent written and verbal communication skills

• Master’s degree in Data Science, Computer Science, Engineering, or a related field

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.  

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.