
Specializing in digital transformation and artificial intelligence.
Data Scientist
Data Scientist
The Opportunity:
We are seeking a highly motivated Data Scientist to support USAFRICOM, driving impactful, data-driven decision-making through the application of advanced analytics and data engineering best practices. In this role, you will process, store, and quantitatively exploit Publicly Available Information (PAI) and Commercially Available Information (CAI), developing and implementing machine learning models and automated analytics across multi-source datasets. You will conduct exploratory data analysis (EDA), perform large-scale data queries, and build scalable ETL pipelines using tools/languages such as Python, Spark, Synapse, and Neo4j in an Azure cloud environment to transform complex data into actionable insights. A core responsibility includes ensuring compliance with data security, regulatory requirements, and Intelligence Community tradecraft standards while maintaining high data quality.
You will clean, organize, integrate, and maintain data models and develop dynamic visualizations, dashboards, and reports that clearly communicate findings to both technical and non-technical stakeholders. Working closely with military personnel, partner nations, policymakers, and cross-functional teams, you will identify data needs, translate requirements into analytical solutions, and deliver fused intelligence products that support mission objectives. You will document analytic methodologies, balance accuracy with operational timelines, and provide formal and informal briefings, presentations, and decision-support materials. Additionally, you will conduct customer outreach, track stakeholder satisfaction, and contribute to reporting and accountability mechanisms.
As a subject matter expert in data analysis and PAI and CAI, you will research and recommend emerging tools, techniques, and technologies to enhance analytical capabilities. You will participate in national and international meetings, committees, and evaluations of analytical tools and software, supporting continuous improvement of mission systems. This role requires adherence to strict security protocols, including Intelligence Community directives and operational security measures, and may involve the use of advanced collection techniques within approved environments. You will leverage the ability to operate independently, synthesize complex information into clear insights, and deliver high-quality analytical products in support of strategic and operational priorities.
Join us. The world can't wait.
You Have:
- 4+ years of experience in data engineering, including ETL development, data modeling, data integration, and geospatial datasets
- 4+ years of experience using big data technologies, such as Spark, Elastic, or Snowflake
- Experience with programming languages such as Python
- Experience working within the IC and DoD joint environment
- Knowledge of automation, artificial intelligence (AI), and machine learning (ML) techniques
- Ability to manage multiple projects on tight deadlines while clearly conveying technical concepts to non-technical audiences
- Ability to work collaboratively across teams to achieve objectives, and translate stakeholder needs into actionable solutions
- TS/SCI clearance
- HS diploma and 8+ years of experience in mathematics, statistics, or data science, or Associate's degree in Mathematics, Statistics, Engineering, or Data Science and 4+ years of experience in mathematics, statistics, or data science
Nice If You Have:
- Experience with intelligence oversight policies and data governance standards
- Experience with cloud-based data solutions in the Azure ecosystem
- Experience with graph databases like Neo4j or Cosmos DB
- Experience with natural language processing (NLP) and automated analytics
- Experience implementing ML or AI solutions
- Possession of excellent analytical skills, for querying and interpreting large data sets
- Possession of excellent verbal and written communication skills
- Possession of excellent organizational and client-facing skills
- Bachelor's degree in Mathematics, Statistics, Engineering, or Data Science
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.
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.
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.
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Booz Allen Hamilton 소개

Booz Allen Hamilton
PublicBooz Allen Hamilton Holding Corporation is the parent of Booz Allen Hamilton Inc., an American company specializing in digital transformation and artificial intelligence.
10,001+
직원 수
McLean
본사 위치
$4.2B
기업 가치
리뷰
10개 리뷰
3.8
10개 리뷰
워라밸
4.0
보상
2.5
문화
4.2
커리어
2.8
경영진
3.5
68%
지인 추천률
장점
Supportive management
Good work-life balance
Flexible work arrangements
단점
Low compensation
Limited growth opportunities
Long hours during peak periods
연봉 정보
37개 데이터
Junior/L3
L2
L6
M3
M4
M5
M6
Mid/L4
Principal/L7
Senior/L5
Staff/L6
L3
L4
L5
Junior/L3 · DATA ANALYST
1개 리포트
$165,000
총 연봉
기본급
$143,400
주식
-
보너스
-
$165,000
$165,000
면접 후기
후기 3개
난이도
3.0
/ 5
소요 기간
21-35주
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Hiring Manager Interview
5
Team Interview
6
Offer
자주 나오는 질문
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
Problem Solving
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