Enterprise Cybersecurity Data Scientist

Booz Allen Hamilton • McLean, VA

7h

About The Position

Enterprise Cybersecurity Data Scientist The Opportunity : As an Enterprise Cybersecurity Data Scientist on our team, you will transform complex, multi‑source data into actionable insights that drive mission‑critical decision making. You will work closely with stakeholders to explore, clean, and analyze structured and unstructured data and develop high‑quality ETL pipelines. You will leverage SQL, Python, R, and Databricks to create scalable, reproducible solutions, ensuring accuracy, performance, and data integrity at every step. In this role, you’ll blend technical expertise, critical thinking, and strong communication skills to elevate our analytic capabilities and deliver measurable impact across the cybersecurity missions. Due to the nature of work performed within this facility, U.S. citizenship is required. What You’ll Work On: Design and maintain robust ETL pipelines, including API integrations and multi‑format data processing, to ensure high‑quality, reliable data for analysis. Develop analytical workflows using Python, SQL, or R to explore data, build predictive insights, and craft compelling data‑driven stories for technical and non-technical audiences. Apply clean coding practices, version control, and Databricks workflows to create scalable, well‑documented, and reproducible analytic solutions. Collaborate with teammates and stakeholders to define requirements, validate data, refine analytic approaches, and elevate team capability through continuous learning and knowledge sharing. Join us. The world can’t wait.

Requirements

• 3+ years of experience in data exploration, cleaning, analysis, visualization, or data mining, including work with both structured and unstructured data
• 3+ years of experience using advanced analytical met hods, storytelling met hods, and data visualization tools to develop data-driven narratives
• 3+ years of experience working with SQL, Python, or R languages
• 3+ years of experience building or operating ETL pipelines such as ingest, transform, and load, including API integration and data manipulation across multiple file types such as JSON, XML, or geospatial formats
• Experience managing version control, including Git, GitHub, GitLab, or Bitbucket, and with CI / CD
• Experience using or managing a Databricks environment
• Ability to demonstrate clean coding habits and focus on quality
• Ability to work independently and collaboratively in a team environment
• Ability to be self-motivated
• Bachelor’s degree in Cybersecurity, Data Science, Information Technology, or Mathematics and 3+ years of experience in cybersecurity, information technology, or data science in a professional work environment, or 5+ years of experience in cybersecurity, information technology, or data science in a professional work environment in lieu of a degree

Nice To Haves

• Experience with analytics and data science techniques, including natural language processing, machine learning, random forest, clustering, and optimization
• Knowledge of cybersecurity domain
• Ability to build dashboards and visual analytics in tools such as Tableau, Power BI, Kibana, Qlik, o r code‑based libs such as seaborn, Plotly, or ggplot2
• Ability to pay strict attention to detail
• Possession of excellent analytical, problem-solving, and critical thinking skills
• Possession of excellent written and verbal communication skills, including for presenting complex information in a clear and concise manner

Responsibilities

• Design and maintain robust ETL pipelines, including API integrations and multi‑format data processing, to ensure high‑quality, reliable data for analysis.
• Develop analytical workflows using Python, SQL, or R to explore data, build predictive insights, and craft compelling data‑driven stories for technical and non-technical audiences.
• Apply clean coding practices, version control, and Databricks workflows to create scalable, well‑documented, and reproducible analytic solutions.
• Collaborate with teammates and stakeholders to define requirements, validate data, refine analytic approaches, and elevate team capability through continuous learning and knowledge sharing.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees