Applied Research Mathematician / Mathematical Statistician - Entry to Experienced Level (Maryland)

National Security Agency Inc; Fort Meade (MD); On-site; USD 90,000 - 130,000; Full time

Job summary

NSA is seeking mathematicians and mathematical statisticians to advance national security. The role combines strong analytic skills with mission-driven problem solving across algebra, combinatorics, Fourier analysis, statistics, machine learning, and cryptography.

You will transform data into insights used to protect the Nation. Join a dynamic mathematics community with opportunities to learn, collaborate across disciplines, and contribute to innovative solutions that help deter threats and

Responsibilities

• Mathematicians apply algebra, combinatorics, Fourier analysis, and statistics to support national security missions.

Job description

Responsibilities

At NSA, mathematics and statistics are core disciplines present in every aspect of our mission: to protect our Nation. The mission requires a strong offense and a steadfast defense. The offense collects, processes, and disseminates intelligence information derived from foreign signals for intelligence and counterintelligence purposes. The defense prevents adversaries from gaining access to sensitive classified national security information. Mathematicians and Mathematical Statisticians contribute across our mission by bringing both subject matter expertise and creative, critical thinking. A wide range of technical expertise finds a natural fit at NSA including, but not limited to, fields of algebra, combinatorics, Fourier analysis, operations research, graph analytics, regression, machine learning, exploratory data analysis, stochastic processes, statistical modeling, forecasting, and cryptography. NSA solves its hardest problems and develops innovative solutions by bringing together people with a wide range of mathematical backgrounds, skills, and viewpoints, which is key for NSA mission success. The Agency supports a dynamic mathematics community with substantial opportunities to learn and