Data Scientist & 365 Developer

Booz Allen Hamilton; United States; Hybrid; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton seeks a Data Scientist & 365 Developer to build, integrate, and sustain Army applications. You’ll enable AI-powered analytics, work with Army Vantage, and develop SharePoint 365 sites and data templates to support enterprise data management.

You will perform data mining, preprocessing, and visualization across structured and unstructured sources, advancing digital modernization and data-driven decision making for mission partners.

Qualifications

• 2+ years of experience with data exploration, cleaning, analysis, visualization, or data mining.
• 2+ years of experience with statistical or general‑purpose programming languages for data analysis.
• Experience with Army data platforms, including Vantage.

Responsibilities

• Build, enhance and sustain Army applications to support mission stakeholders.
• Integrate AI-enabled analytics and Army Vantage capabilities into workflows.
• Conduct validation testing and manage a ticketing system for issues.
• Develop and maintain Army 365 SharePoint sites, lists and libraries.
• Refine data governance, data dictionaries and glossaries across systems.

Skills

Data analysis

Data visualization

Programming for data analysis

Problem solving

Communication

Education

Bachelor's degree

Tools

Python

R

SQL/NoSQL

Power Apps

SharePoint

Qlik

Power BI

Hadoop

Spark

Job description

Data Scientist & 365 Developer

The Opportunity:

As a Data Scientist and 365 Developer supporting the U.S. Army, your primary focus will be building, enhancing, and sustaining Army applications for a wide range of mission stakeholders. You will integrate AI‑enabled analytics and Army Vantage capabilities into applications and workflows to support digital modernization and improve how the Army automates processes, generates insights, and makes data‑driven decisions. You will conduct verification and validation testing, deliver updates and enhancements, and manage a ticketing system to resolve user issues efficiently and keep applications mission‑ready.

You will perform advanced data mining to aggregate, transform, and analyze large datasets — summarizing information, identifying correlations, grouping data through clustering, and detecting anomalies that may inform operational decisions. In parallel, you will carry out data preprocessing to prepare datasets for analysis or integration into larger frameworks, including handling missing values, removing duplicates, and standardizing formats to ensure consistency and usability. You will also explore systems and Army platforms such as Vantage to identify opportunities for improved analytics, visualization, and enterprise data integration in support of CPE programs.

Beyond analytics, you will develop, update, and maintain Army 365 SharePoint sites, lists, and document libraries in both unclassified and classified environments to support enterprise data management. This includes managing user permissions across SharePoint, Qlik, and Power Apps to maintain secure, appropriate access. You will maintain and update template files that capture key data elements across 18 core capability areas and ensure they align with Power Apps and other enterprise tools. To strengthen data governance, you will refine portfolio definitions, data dictionaries, and glossaries, ensuring consistent terminology and structure across Army systems and analytical platforms.

Through this work, you will enhance the U.S. Army's digital ecosystem by improving data quality, enabling AI‑supported insights, and delivering reliable tools that empower mission partners with the information they need to act with confidence.

Join us. The world can’t wait.

You Have:

• 2+ years of experience with data exploration, cleaning, analysis, visualization, or data mining
• 2+ years of experience with statistical or general‑purpose programming languages for data analysis
• Experience with Army data platforms, including Vantage
• Experience analyzing structured and unstructured data sources
• Experience developing predictive models, quantitative analyses, or visualization of mission‑relevant datasets
• Experience with machine learning, artificial intelligence, natural language processing, text‑mining techniques, or applying AI‑assisted analytics such as generative AI or LLMs to enhance workflows
• Ability to obtain a Secret clearance
• Bachelor’s degree

Nice If You Have:

• 2+ years of experience developing algorithms leveraging R, Python, or SQL/NoSQL
• 2+ years of experience with distributed data or computing tools such as MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
• 2+ years of experience with machine learning, AI, or NLP
• Experience with visualization packages such as Plotly, Seaborn, or ggplot2
• TS/SCI clearance with a polygraph

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Our people‑first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the 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.