Enterprise Cybersecurity Data Scientist, Senior

Enterprise Cybersecurity Data Scientist, Senior

Key Role:

Research, develop, and test data methodologies, and generate cross-functional solutions through analysis of large data sets. Apply logical skills and data science expertise by simplifying technical requirements and trends to produce meaningful data stories for both a technical and non-technical audience. Present data findings and recommendations to leadership and stakeholders using your knowledge of data lakes, scripting languages such as Structured Query Language (SQL), Python, and R, and data visualization tools. Establish quantitative and qualitative metrics and key performance indicators (KPI) to drive technical outcomes. Apply data visualization through various formats such as dashboards, graphs, tables, and PowerPoint slides. Improve cybersecurity visibility and analytics by identifying and closing gaps for data insights. Advance the cybersecurity mission by utilizing data analysis techniques on cyber threat and intelligence information. Drive large-scale business and process decisions across Booz Allen by creating data driven stories for our cybersecurity posture and effectiveness. Contribute to impactful work and guide decision-making across multiple organizations. Work independently as well as on a small team developing products that drive Enterprise cybersecurity and information technology business decisions, identify improvement opportunities, and develop a meaningful story for our cyber mission. Work closely with internal cybersecurity teams to collect requirements and analyze data-rich environments. Due to the nature of work performed within this facility, U.S. citizenship is required.

Basic Qualifications:

• 6+ years of experience with data science and data analysis
• 4+ years of experience working with Python and SQL
• 2+ years of experience working in a big data ecosystem with tools such as Databricks, Spark, or Hadoop
• 1+ years of experience supporting a cybersecurity team
• Knowledge of statistical analysis techniques and how to apply them to large datasets
• Ability to develop and maintain interactive dashboards and visualizations in data visualization tools such as Power BI
• Ability to work independently and collaboratively in a team environment
• Ability to be self-motivated and detail-oriented
• Bachelor’s degree in a Data Science, Mathematics, Statistics, Cybersecurity, or Information Security field

Additional Qualifications:

• Experience with machine learning (ML) frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience with Splunk log ingestion, data structures, and query language
• Experience applying data methodologies to a Cyber Fusion Center (CFC), Security Operations Center (SOC), or enterprise cybersecurity organization
• Experience with Zero Trust (ZT) visibility and analytics
• Knowledge of artificial intelligence (AI) and ML capabilities, and ways to apply these methodologies to visibility and analytics
• 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 and translating data into actionable insights
• Master’s degree in Data Science or a related field

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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.