Booz Allen Hamilton
Data Scientist
Location
Bladensburg, MD
Job Type
Other
Date Posted
27 November 2025
Job Number: R0229726
Job Title: Data Scientist
The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data.
On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait.
You Have:
- 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
- 2+ years of experience with exploratory data analysis using programming languages, including SQL and Python
- Experience analyzing structured and unstructured data sources
- Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
- Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
- Ability to explain data insights clearly to both technical and non-technical stakeholders
- TS/SCI clearance
- Bachelor's degree
Nice If You Have:
- 2+ years of experience with visualization software, including Qlik or Tableau
- 2+ years of experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
- 2+ years of experience with Machine Learning, AI, or NLP
- Experience with translating complex data into a compelling narrative that informs and influences a specific audience
- Experience with visualization packages, including Plotly, Seaborn, or ggplot2
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 $99,000.00 to $225,000.00 (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:
- 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.
Frequently Asked Questions
Bladensburg sits near the Washington, DC metro area, where data science roles are expanding rapidly, especially in defense and consulting sectors. Competition is moderate but growing, making it a promising location for data scientists seeking to leverage analytical expertise close to federal projects.
Traffic congestion during peak hours can influence daily commutes for Bladensburg data scientists. Many professionals opt for flexible schedules or remote work options at Booz Allen Hamilton to balance travel times, enhancing productivity while navigating the Maryland-DC corridor.
Candidates for Data Scientist roles at Booz Allen Hamilton usually need proficiency in Python, machine learning frameworks, and cloud platforms like Azure or AWS. Strong statistical analysis and domain knowledge in government or defense analytics often give applicants a competitive edge.
Starting as junior data scientists, professionals often evolve into senior analysts or data engineering roles, especially in consulting firms like Booz Allen Hamilton. Growth frequently involves mastering advanced machine learning models, leading projects, and gaining domain-specific certifications.
Booz Allen Hamilton integrates data science with strategic consulting, offering unique exposure to government projects and defense analytics. Data Scientists here often collaborate cross-functionally, blending technical insight with policy and operational impact, which is less common in purely tech-focused firms.
The company favors candidates skilled in data engineering, predictive modeling, and research analytics tailored for federal clients. Experience with Microsoft and Salesforce data platforms is a plus, reflecting their use of diverse technologies to address complex defense and intelligence challenges.
Data Scientist salaries in Bladensburg typically range from $95,000 to $135,000 annually, depending on experience and specialization. Senior roles, especially those involving defense analytics at Booz Allen Hamilton, can command salaries at the higher end of this spectrum.
Junior roles often focus on data cleaning, exploratory analysis, and supporting algorithms development, while senior positions take on project leadership, complex model design, and client interaction. The transition involves acquiring deeper domain knowledge and proficiency with advanced analytical tools.
Graduates with strong portfolios demonstrating practical machine learning projects, internships in analytics, and certifications in data science tools tend to be more competitive. Employers value candidates who can bridge theoretical knowledge with real-world problem-solving in business or government contexts.
Yes, Booz Allen Hamilton invests in continuous learning, providing tailored onboarding programs and mentorship to integrate data scientists into their specialized analytics teams. This approach helps new hires quickly adapt to project demands and develop skills aligned with federal client needs.
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