The Opportunity: 

This role powers up international operations by building scalable analytics solutions, turning complex operational data into clear, exciting insights, and creating smart automation tools. You’ll supercharge company-wide operations using the Power Platform suite, bringing practical, business‑driven analytics and automation to life.

As a hybrid Data Scientist and Low‑Code/No‑Code Solution Engineer, you get to explore rich data worlds, discover hidden patterns, and transform them into user‑friendly tools that make everyone’s day easier. You’ll blend machine learning, AI, and creative low‑code development to design solutions that feel as good as they function.

Partnering with stakeholders, you’ll decode their needs, craft clever, scalable products, and deliver automation that makes operations faster, smoother, and more fun. Your work helps teams unlock the story in their data and turn insights into action, boosting efficiency and supporting global missions with fresh energy. Due to the nature of work performed within this facility, U.S. citizenship is required. 

Use your software support skills for good.  

Join us. The world can’t wait.  

You Have: 

• 5+ years of experience designing, modifying, developing, writing, and implementing software programming applications using Agile methods  
• 5+ years of experience using low-code or no-code solutions for new applications, or generating and enhancing solutions for existing applications 
• 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 
• 2+ years of experience using AI-powered solutions to enhance analytics and automation, with a mindset oriented toward the evolving future of international operations
• Experience with basic programming languages, technologies, tools, or web development stacks 
• Experience acquiring client requirements and resolving workflow problems through automation optimization 
• Experience delivering scalable solutions in data modeling, workflow automation, and predictive analytics
• Ability to convey complex technical concepts clearly to both technical and non-technical audiences
• Public Trust
• Bachelor's degree or 7+ years of experience in software engineering in lieu of a degree 

Nice If You Have: 

• Experience with Agile methodology, extreme programming, software engineering, product management, and software products 
• Experience with Java, Python, JavaScript, SQL, ServiceNow, Salesforce, Pega, Appian, PowerApps, or OpenText  
• Experience with process optimization methodologies, including Lean, Six Sigma, or continuous improvement
• Experience with international mobility, immigration workflows, relocation planning, or SOFA requirements
• Possession of strong critical thinking and process optimization skills, including connecting technical solutions to broader business objectives
• Possession of strong verbal and written communication skills
• Master’s degree  

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination 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.

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.