Employ Pine
Booz Allen Hamilton
Data Scientist
Location
Laurel, 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
Laurel, MD benefits from its proximity to Washington DC, where government agencies and tech firms increasingly seek data scientists. This region exhibits steady growth in data science roles, driven by federal contracts and private sector projects focused on analytics and AI, making it a promising locale for data science careers.
Data scientists based in Laurel, MD often experience moderate commute times, generally shorter than those from farther suburbs like Frederick or Prince George’s County. With good highway access and some public transit options, commuting is manageable, but traffic during peak hours can extend travel time slightly compared to inner DC areas.
Entry-level data scientists should be comfortable with Python or R, SQL for data querying, and foundational machine learning concepts. Familiarity with data visualization tools such as Tableau and a basic understanding of cloud platforms like AWS or Azure often distinguishes junior candidates in competitive US roles.
Early-career data scientists often move from data cleaning and exploratory analysis to designing predictive models and influencing business decisions. Advancement can lead to senior data scientist roles, data science team leads, or transitions into specialized areas like data engineering or research, depending on skills and organizational needs.
Booz Allen Hamilton leverages data scientists not just for analytics but to solve complex defense, intelligence, and government challenges. Their roles often blend technical analytics with strategic consulting, requiring adaptability and deep domain knowledge, setting them apart from purely tech-focused companies.
Candidates for Booz Allen Hamilton’s Data Scientist I roles benefit from certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Data Analytics. Additionally, experience with government data protocols and security clearances can enhance prospects within their structured, mission-driven environment.
Data scientists at Booz Allen Hamilton in Laurel, MD typically earn between $85,000 and $115,000 annually, depending on experience and certifications. This aligns with competitive federal contracting rates and reflects the region’s cost of living and specialized project demands within government consulting sectors.
Data scientist positions at Booz Allen Hamilton blend both research and application, emphasizing actionable insights for defense and intelligence clients. Employees often develop novel algorithms while ensuring practical deployment in mission-critical systems, balancing innovation with real-world impact.
US data scientist roles typically emphasize a balance of programming, statistical modeling, and domain expertise, often within fast-paced, data-rich environments. Compared to international markets, there is a stronger focus on cloud technologies and regulatory compliance, especially in sectors tied to government and finance.
A data science analyst primarily focuses on interpreting data and building models to inform business decisions, whereas a data engineer scientist analyst combines these tasks with designing and maintaining data pipelines and infrastructure, requiring deeper software engineering and database management skills.
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