Analytic Methodologist, Senior

About the role

As an Analytic Methodologist at Booz Allen, you’ll help turn complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with clients to understand their questions and needs, then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems, using the right combination of tools and frameworks to turn disparate data points into objective answers that help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

Responsibilities

• Correlate complex technical findings into graphical, written, visual, and verbal narrative products.
• Build advanced analytics and AI/ML models, including tools leveraging LLMs or agentic AI, covering data retrieval and cleaning, modeling, accuracy evaluation or testing, and visualization.
• Visualize complex data and concepts for non-technical leadership, highlighting system risks and articulating "go or no-go" criteria clearly.
• Work on classified networks in support of Department of Defense (DoD) or Intelligence Community (IC) clients.

Requirements

• 3+ years of experience correlating complex technical findings into narrative products.
• Experience building advanced analytics and AI/ML models, including data retrieval, cleaning, modeling, evaluation, and visualization.
• Experience working on classified networks in support of DoD or IC clients.
• Active TS/SCI clearance; willingness to take a polygraph exam.
• Bachelor’s degree and 8+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, or 12+ years of such experience in lieu of a degree.

Nice to Have

• 2+ years of experience developing algorithms using R, Python, or SQL and NoSQL.
• 2+ years of experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
• 2+ years of experience with Machine Learning, AI, or NLP.
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2.
• TS/SCI clearance with a polygraph.
• Master’s degree.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
• Recognition awards program for exceptional performance and superior demonstration of company 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 this threshold are only eligible for select offerings, not inclusive of health benefits.

Pay

Salary is determined by various factors, including location, 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).

Schedule

This posting will close within 90 days from the posting date.

Work model expectations:

• Remote: Primarily remote, with occasional in-person work at a Booz Allen or customer facility.
• Hybrid: Frequent work from a Booz Allen facility, with potential visits to customer facilities as needed.
• Onsite: Work primarily performed at a Booz Allen office or customer facility, collaborating directly with colleagues and customers.

For virtual work, cameras are generally expected to be on during meetings to support engagement and effective communication.