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






Data Scientist
99,000–225,000 / Year
Location
Fayetteville, NC
Experience
Mid
Posted
Jul 7, 2026
Apply by
October 4, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
Job Description
Data Scientist
**The Opportunity:**
Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating more structured and unstructured data than ever before. As a data scientist, you know that within this data are the patterns, trends, and insights that can drive smarter decisions and meaningful mission outcomes. We need a skilled data scientist like you to help our clients transform complex data into actionable insight that supports critical missions.
As a data scientist at Booz Allen, you’ll contribute to advanced analytic initiatives on some of the most mission-focused projects in the industry. You’ll leverage statistical methods, machine learning techniques, data mining, and predictive analytics to extract value from diverse data sources and address complex operational challenges.
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:**
- 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
- 3+ years of experience with statistical and general-purpose programming languages for data analysis
- 3+ years of experience analyzing structured and unstructured data sources
- Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
- Experience leading the development of solutions to complex programs
- Experience with natural language processing, text mining, or machine learning techniques
- TS/SCI clearance
- Bachelor’s degree
**Nice If You Have:**
- Experience with Palantir Foundry
- Experience with Pipeline Builder, AIP, and Foundry's application development ecosystem
- Experience with distributed data and computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
- Experience with data visualization or geospatial tools, such as Tableau, Qlik, Power BI, or ArcGIS
- Experience with DevOps tools and automation practices
- Experience working within a Combatant Command or other DoD organization
**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 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
- Conduct data exploration, cleaning, analysis, and visualization.
- Develop predictive data models and quantitative analyses.
- Lead the development of solutions to complex programs.
- Guide teammates and lead the development of algorithms and systems.
- Collaborate with clients to understand questions and needs.
- Transform complex data into actionable insights for mission outcomes.
Requirements
- Bachelor’s degree
Skills Required
Statistical methodsMachine learningData miningPredictive analyticsNatural language processingText miningPythonRSQLData visualizationData cleaningData analysisLeadershipCommunicationProblem solvingPalantir FoundryPipeline BuilderAIPSparkDatabricksHadoopHiveAWS EMRKafkaTableauQlikPower BIArcGISDevOpsAutomation practices
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.

Data Engineer - AWS Glue
Srijan
Full-timeEasy applyHybrid
GurgaonMid

Sr. Data Scientist – AI Driven Operations Research
Amgen
Full-timeEasy applyWork from Office
India - HyderabadSenior

Research Scientist (GenAI/LLM)
NielsenIQ
38.400–46.500 / Year
Full-timeEasy applyHybrid
MadridMid

Technical Lead Manager, Machine Learning
Veho
210,000–240,000 / Year
Full-timeEasy applyWork from Home
New York CitySenior

AI Engineering Lead
Petline Insurance
108,700–158,700 / Year
Full-timeEasy applyHybrid
TorontoSenior

Senior GenAI Data Scientist
Bold Penguin
126,000–160,000 / Year
Full-timeEasy applyWork from Home
6555 Longshore StreetSenior