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Selected role

Data Scientist

Booz Allen Hamilton Nellis AFB, NV, US

$77k - $176k Senior Full-time

Data Scientist

The Opportunity:

Are you passionate about turning raw data into actionable intelligence? Do you thrive at the intersection of machine learning (ML), advanced analytics, and operational integration? In a world of expanding Intelligence, Surveillance, and Reconnaissance (ISR) datasets, uncovering meaningful patterns and delivering insights is critical for empowering warfighters and decision-makers. As a data scientist, you can transform ISR data sources into real-time, mission-critical insights to shape the future fight.

We have an opportunity for you to bring your data science expertise to the forefront of tactical ISR operations. You’ll work closely with your customer to explore data-rich ISR environments, develop AI/ML models, and deliver advanced analytics that address the U.S. Air Force’s most pressing intelligence challenges. On our team, you’ll focus on building scalable data pipelines, automating analytics workflows, and delivering intuitive visualization products for ISR stakeholders.

You’ll collaborate with ISR analysts, software engineers, and cloud architects to prototype, develop, and operationalize advanced AI/ML solutions that integrate seamlessly into multi-domain ISR operations. With access to cutting-edge technology, authoritative datasets, and the support of a technical team, you’ll solve intelligence challenges that ensure mission success.

Join us as we revolutionize ISR operations through data science.

What You’ll Do:

Develop and train ML models to extract actionable insights from ISR data, including geospatial object detection, adversary behavior prediction, anomaly detection, and image classification tasks.
Conduct data cleaning, normalization, and feature engineering to prepare complex ISR datasets for robust analysis.
Combine multiple ISR data types such as imagery, signals, or time-series data, into cohesive datasets that maximize analytic output.
Create intuitive visualizations that provide commanders, analysts, and warfighters with real-time, actionable intelligence.
Work closely with cloud engineers and ISR analysts to operationalize data pipelines and deploy AI/ML models into mission-critical environments.
Ensure analytics capabilities are functional and available within contested, degraded, and operationally limited environments.
Stay informed on emerging trends and tools in AI/ML, data science, and ISR workflows to prototype and deploy innovative solutions.

Join us. The world can’t wait.

You Have:

5+ years of experience applying data science techniques to large-scale datasets, including structured, unstructured, geospatial, or imagery data
Experience in programming languages such as Python or R, for data analysis, processing, and model development
Experience developing ML or deep learning (DL) models using frameworks such as TensorFlow, PyTorch, or scikit-learn
Experience with data engineering, including Extract, Transform, Load (ETL) pipelines and data preprocessing for large ISR datasets
Experience working with cloud-native AI/ML tools, including AWS Sagemaker or Azure ML
Experience with data visualization tools such as Tableau, Power BI, or Plotly, for creating actionable intelligence products
Knowledge of geospatial tools such as ArcGIS, QGIS, or GeoPandas, for analyzing and visualizing ISR data
TS/SCI clearance
Bachelor’s degree

Nice If You Have:

Experience working with ISR datasets such as UAV, satellite, or ground-based sensors, or in a DoD or Intelligence Community environment
Experience with geospatial modeling techniques and frameworks such as GeoServer or Google Earth Engine
Experience integrating AI/ML solutions into operational cloud environments using containerization tools such as Docker or Kubernetes
Experience with Agile or DevOps workflows to support rapid data product development cycles
Knowledge of natural language processing (NLP) techniques and their integration in ISR workflows
Knowledge of data fusion techniques to combine multiple ISR data sources for a cohesive intelligence picture
Master’s degree in Data Science, CS, Mathematics, Statistics, or a related field preferred; Doctorate degree in Data Science, CS, Mathematics, Statistics, or a related field a plus
AI/ML-related Certifications such as AWS Machine Learning Specialty Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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 $77,600.00 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.

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