Employ Pine
Booz Allen Hamilton
Data Scientist
Location
Bowie, 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
Bowie's proximity to Washington, DC, makes it a dynamic hub for data science talent, driven by federal and private sector demand. Candidates with strong analytical skills and experience in data engineering tend to stand out, as employers often seek professionals capable of integrating complex datasets and delivering actionable insights.
Professional credentials like Microsoft Certified: Azure Data Scientist Associate or Salesforce-specific analytics certifications are highly valued in Maryland. Familiarity with tools like Python, R, and cloud platforms, alongside strong statistical knowledge, often elevates candidates within Bowie’s competitive job market.
Entry-level roles usually expect foundational knowledge in statistics and programming but might offer more guided projects. Junior or trainee positions often emphasize learning on the job with mentorship, focusing on data cleaning and basic modeling, allowing gradual growth into full data science responsibilities.
Career progression often moves from data analyst or junior scientist roles to senior or specialized positions like data research specialist or data engineer scientist analyst. Continuous upskilling in machine learning, advanced analytics, and domain expertise can open doors to leadership or strategic roles.
Booz Allen Hamilton blends consulting with cutting-edge data science, providing access to diverse projects across government and commercial sectors. Data Scientists there often engage in complex problem-solving with cross-disciplinary teams, gaining exposure to strategic analytics and national security applications.
At Booz Allen Hamilton, Data Scientists frequently collaborate with data engineers, sometimes taking on hybrid roles that involve building data pipelines and crafting analytical models. This integration supports seamless data flow and richer insights, which are critical for delivering actionable recommendations.
Data Scientists in Bowie, MD, generally earn between $85,000 and $120,000 annually, depending on experience and specialization. Entry-level roles may start around $75,000, while those with advanced skills in machine learning or data engineering can command salaries exceeding $130,000.
Data Scientists often focus on designing predictive models and algorithms, whereas Data Science Analysts might concentrate more on interpreting data trends and reporting. The scientist role typically demands deeper programming expertise and experimentation with machine learning techniques.
Building a robust portfolio with projects demonstrating data wrangling, statistical analysis, and machine learning is crucial. Gaining internships and mastering tools like Python, SQL, and cloud services also enhances employability, especially when aiming for competitive positions across the US.
Many assume Data Scientists solely code or only analyze data, but the role demands a blend of domain knowledge, storytelling, and strategic thinking. It’s not just about algorithms; effective communication of insights to stakeholders is equally vital for success.
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