Data Scientist

Posted 4 Days Ago
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McLean, VA, USA
In-Office
78K-176K Annually
Mid level
Information Technology
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The Role
Build scalable cybersecurity data pipelines and analytic workflows supporting AI-enabled threat detection, anomaly detection, automated triage, and real-time Cyber Fusion Center operations. Use Python, SQL, Apache Spark, Databricks, ETL, and version control to deliver production-ready solutions. Collaborate with cyber operators and AI engineers to prioritize datasets, shape requirements, and enable autonomous cyber defense capabilities.
Summary Generated by Built In
Data Scientist

The Opportunity:  

As an Enterprise Cybersecurity Data Scientist supporting our next‑generation artificial intelligence (AI)‑enabled Cyber Fusion Center (CFC), you will help architect and operationalize the analytic foundation enabling cyber defense at machine speed. Your work will directly support our enterprise initiative to embed AI across cybersecurity workflows, accelerating detection, improving efficiency, and increasing the autonomy of CFC operations as we mature from manual to automated and semi‑autonomous capabilities.  

In this role, you will apply data engineering and data science to build the foundation for AI-enabled capabilities to autonomously detect, investigate, and remediate cyber threats. You will collaborate closely with cyber operators and AI engineers to design data pipelines that power real‑time situational awareness, cybersecurity workflows, and autonomous decision support across the enterprise. Due to the nature of work performed within this facility, U.S. citizenship is required.

How You’ll Contribute:

As an Enterprise Cybersecurity Data Scientist on our team, you’ll:  

  • Build and maintain scalable pipelines that integrate various security telemetry and external data sources to support real‑time CFC analytics.
  • Develop analytic workflows utilizing Python and SQL to enable threat detection, anomaly detection, and automated triage.
  • Use Databricks, clean coding practices, and version control to deliver reproducible, production‑ready solutions.
  • Partner with AI engineers to shape requirements and prioritize datasets to enable CFC workflows.

Join us. The world can’t wait. 

You Have: 

  • 3+ years of experience in data exploration, cleaning, analysis, or data mining, including with both structured and unstructured data  
  • 3+ years of experience building data pipelines  
  • 3+ years of experience working with SQL, Python, and Apache Spark  
  • Experience managing version control, including Git, GitHub, GitLab, or Bitbucket, and CI/CD pipelines
  • Experience building or operating ETL pipelines such as ingest, transform, load, including API integration and data manipulation across multiple file types such as JSON, XML, and geospatial formats
  • Ability to display clean coding habits and focus on quality  
  • Ability to work independently and collaboratively in a team environment  
  • Ability to be self-motivated and pay attention to detail  
  • Bachelor’s degree in Cybersecurity, Data Science, Engineering, or IT and 3+ years of experience working in cybersecurity, information technology, data engineering, or data science in a professional environment, or 5+ years of experience working in cybersecurity, information technology, data engineering, or data science in a professional environment in lieu of a degree 

Nice If You Have: 

  • Experience with analytics and data science techniques, including natural language processing, machine learning algorithms, MLflow, and optimization  
  • Knowledge of agentic workflow principles  
  • Knowledge of the cybersecurity domain   
  • Possession of strong analytical, problem-solving, and critical thinking skills  
  • Possession of strong written and verbal communication skills, including presenting complex information in a clear and concise manner 

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 $77,600.00 to $176,000.00 (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.

Skills Required

  • 3+ years of experience in data exploration, cleaning, analysis, or data mining involving structured and unstructured data
  • 3+ years of experience building data pipelines
  • 3+ years of experience with SQL, Python, and Apache Spark
  • Experience with version control systems such as Git, GitHub, GitLab, or Bitbucket
  • Experience with CI/CD pipelines
  • Experience building or operating ETL pipelines, including API integration and data manipulation across JSON, XML, and geospatial formats
  • Bachelor's degree in Cybersecurity, Data Science, Engineering, or IT and 3+ years of relevant professional experience, or 5+ years of relevant professional experience in lieu of a degree
  • Experience with natural language processing, machine learning algorithms, MLflow, and optimization
  • Knowledge of agentic workflow principles
  • Knowledge of the cybersecurity domain
  • Strong analytical, problem-solving, and critical-thinking skills
  • Strong written and verbal communication skills
  • U.S. citizenship

Booz Allen Hamilton Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Booz Allen Hamilton and has not been reviewed or approved by Booz Allen Hamilton.

  • Retirement Support Retirement benefits are anchored by a dollar‑for‑dollar 401(k) match with immediate vesting and complemented by an employee stock purchase plan. Feedback suggests these features strengthen long‑term financial security beyond base pay.
  • Healthcare Strength Health coverage spans medical, dental, vision, life, disability, mental health, and wellness incentives, with multiple plan options. Tax‑advantaged accounts and wellness contributions further enhance the breadth of coverage.
  • Leave & Time Off Breadth Time‑off benefits include paid holidays, PTO that grows with tenure, and paid parental leave with additional unpaid time available. Flexible scheduling and remote options support work‑life balance alongside formal leave.

Booz Allen Hamilton Insights

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The Company
HQ: McLean, VA
Year Founded: 1914

What We Do

Booz Allen is an advanced technology company delivering outcomes with speed for America’s most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting-edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeed—accelerating the nation to realize our purpose: Empower People to Change the World®.

Why Work With Us

At Booz Allen, our culture of heart and performance will fuel your growth and empower you to succeed, both inside and outside of the workplace. Discover your future career and join us. The world can't wait.

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