Infrastructure Security Architect and Data Scientist
The Opportunity:
For an organization to transform in today’s digital world, it needs to properly collect, store, and organize its data. Effective data management can enable more efficient operations, yielding more growth. As a data architect, you know how to apply your creative-thinking and analytical mindset to help organizations manage their data assets. We’re looking for an experienced data architect like you to deliver leading-edge solutions for national security and network hardening priorities.
On our team, you’ll use your leadership skills and data archenteric or security engineering expertise to create real-world impact. You’ll work closely with clients to understand their security requirements and then dig into their data-rich ecosystems to harden their IT environment. You’ll support teammates and lead the security development of algorithms and systems. You’ll leverage support to teammates as they 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 security, what it all means, and how it can be used.
Join us. The world can’t wait.
You Have:
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 with data exploration, data cleaning, data analysis, data visualization, or data mining
Experience developing predictive data models, quantitative analyses and visualization of targeted data sources
Experience with natural language processing, text mining, or machine learning techniques
Experience with REST APIs, webhooks, and automation middleware
Experience integrating enterprise systems, such as Jira, Confluence, APIs, or in-house platforms
Knowledge of AI and ML workflows leveraging existing AI and ML tools
TS/SCI clearance
Bachelor’s degree
Nice If You Have:
Experience in the development of algorithms leveraging CDS, Gitlab, CI/CD, Argo CD, R, Python, or SQL and NoSQL
Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
Experience with visualization packages, including Palantir, Plotly, Seaborn, or ggplot2
Master's degree
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.