Data Scientist, Senior
Back to Jobs
Booz Allen HamiltonGet Smart Job AI Coach in the appFree on iOS and Android 






Data Scientist, Senior
99,000–225,000 / Year
Location
Washington, DC
Experience
Senior
Posted
Jul 10, 2026
Apply by
October 7, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
Job Description
Data Scientist, Senior
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 leadership skills and data science expertise to create real-world impact. You’ll work closely with 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 guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they 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:
- 5+ years of experience in data science, machine learning, or AI development
- 5+ years of experience with Python for data analysis and model development
- 5+ years of experience analyzing big data, feature engineering, and statistical modeling
- Experience with predictive modeling, classification, and anomaly detection techniques
- Experience with geospatial analysis, signal processing, or time-series forecasting
- Experience with cloud computing
- Secret clearance
- Master's degree in Data Science, Machine Learning, or Computer Science
Nice If You Have:
- 5+ years of experience in the defense sector
- Experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
- Experience with visualization packages, including Streamlit, Plotly, Seaborn, or ggplot2
- TS/SCI clearance
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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 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.
Key Responsibilities
- Guide teammates and lead the development of algorithms and systems
- Work closely with clients to understand their questions and needs
- Analyze data-rich environments to find pieces of information puzzles
- Use tools and frameworks to turn disparate data points into objective answers
- Provide deep understanding of data meaning and usage for client decision-making
Requirements
- Master's degree in Data Science
- Machine Learning
- or Computer Science
Skills Required
PythonMachine LearningAIBig Data AnalysisFeature EngineeringStatistical ModelingPredictive ModelingClassificationAnomaly DetectionGeospatial AnalysisSignal ProcessingTime-series ForecastingCloud ComputingLeadershipCommunicationMapReduceHadoopHiveEMRKafkaSparkGurobiMySQLStreamlitPlotlySeabornggplot2
Benefits
- Health insurance
- Life insurance
- Disability insurance
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
App exclusive · Free
Smart Job AI Coach
Your personal interview coach on every job — readiness tips, profile improvements, and role-specific prep. Available only in the Pulse Job app.
Interview readiness
See how prepared you are and what to improve for each role.
Personalized tips
Actionable suggestions based on your profile and the job.
After you apply
Keep coaching momentum from job detail through application success.
Similar roles for you
Matched using this role's title and skills. Open the job search anytime to see every listing.

Senior Data Scientist
Jobgether
Full-timeEasy applyWork from Home
CanadaSenior

Senior Data Scientist
Jobgether
Full-timeEasy applyWork from Home
USSenior

Data Scientist Sênior - Crédito
Jobgether
Full-timeWork from Home
BrazilSenior

Data Scientist Senior
USAA
150,960–288,530 / Year
Full-timeHybrid
San Antonio Home Office ISenior

Senior Data Scientist
Brightvision
100,000–150,000 / Year
Full-timeEasy applyWork from Home
RemoteSenior

Senior Data Scientist
Brightvision
100,000–150,000 / Year
Full-timeEasy applyWork from Home
RemoteSenior