Data Scientist, Lead

The Opportunity:  

Government financial systems generate vast amounts of transactional and operational data. As a Data Scientist, you know how to extract meaningful patterns, trends, and signals from that data to drive smarter oversight, support fraud detection, and enable data-driven decision-making. 

At Booz Allen, you’ll design and implement analytical models and machine learning solutions that transform complex financial data into actionable intelligence. Collaborating with a multidisciplinary team of engineers, analysts, and domain experts, you’ll help government clients detect anomalies, forecast risk, improve financial transparency, and meet critical compliance goals.  

In this role, you’ll apply your expertise in statistical modeling, machine learning, and data visualization to support high-impact, mission-critical initiatives in federal finance. Whether you're developing predictive models to identify irregularities or building dashboards that reveal key financial insights, your work will help safeguard public funds and strengthen accountability across government systems.  Due to the nature of work performed within this facility, U.S. citizenship is required.

Join us. The world can't wait.

You Have:   

• 8+ years of experience as a data scientist supporting cloud-based applications
• Experience using and integrating LLM models, such as OpenAI, X.AI, or Claude, via APIs to enhance data analysis and automate insights 
• Experience with Python and R to conduct statistical computing and data visualizations
• Experience in Exploratory Data Analysis (EDA) to identify trends, anomalies, and key insights from large datasets
• Experience in Data Modeling to support predictive analytics and anomaly detection
• Experience with dashboarding tools, such as AWS Quicksight 
• Experience with machine learning tools such as Amazon SageMaker 
• Experience in writing clean, maintainable code to support production-grade data science workflows 
• Public Trust
• Bachelor’s degree and 1+ years of experience in a professional work environment, or 4+ years of experience in a professional work environment in lieu of a degree

Nice If You Have:   

• Experience in supporting or modernizing financial systems
• Experience with ETL and big data platform such as AWS Glue and EMR 
• Experience with generative AI tools such as Amazon Bedrock 
• Experience with graph database such as Amazon Neptune 

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.

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 $112,800.00 to $257,000.00 (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.