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Applied Mathematics Computer Science Jobs in Washington

Howard University

Assistant Professor

Washington, DC · On-site

D. in Mathematics, Applied Mathematics, Computer Science, Data Science, Artificial Intelligence, or a closely related field. • Strong research record in mathematics-driven AI or ML, with ...

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Applied Mathematics Computer Science information

What is the difference between Applied Mathematics Computer Science vs Data Analyst?

AspectApplied Mathematics Computer ScienceData Analyst
Required CredentialsBachelor's or higher in applied math, computer science, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageTech firms, research institutions, universitiesCorporations, consulting firms, government agencies
Common Search & ComparisonApplied Mathematics Computer Science vs Data Analyst

Applied Mathematics Computer Science focuses on developing algorithms, modeling, and computational techniques, often requiring programming and mathematical skills. Data Analysts interpret data to provide insights, primarily using statistical tools. While both roles involve data and programming, Applied Mathematics Computer Science emphasizes algorithm development and complex modeling, whereas Data Analysts focus on data interpretation and reporting.

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Applied Mathematics Computer Science jobs near you

Cryptologic Computer Scientist

GRVTY

Fort George G Meade, MD

Other

Re-posted 14 days ago

Job description

What Impact You'll Have

  • GRVTY is seeking experienced Cryptologic Computer Scientist to design, develop, deliver, and operate solutions to hard cryptologic computer science problems within a scientific framework.You will create solutions derived from forensics and attack attribution, facilitate protection of critical networks and active systems, and conduct knowledge discovery of passive and active systems, or other cryptologic computer science mission support.

What You'll be Owning

  • The right candidate will apply requisite computer science skills (operating systems, compiler theory, databased theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structure) to each problem to provide state-of -the-art techniques, tools, and approaches.  This particular position will be a hybrid computer scientist/cyber threat analyst, specifically using Python, Spark/PySpark, and you will need to have a strong network and protocol analysis background and familiarity with customer tools. 

What You Must Have

  • Master's degree with 6 years of relevant experience.
  • Bachelor's Degree with 8 years of relevant experience.
  • Associates degree with 10 years of relevant experience.  
  • Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field with at least one programming and at least 4 upper-level math classes (Calculus and above).  
  • Relevant experience must be in a computer science area (i.e. theoretical or applied), simulation/model development, designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g. algorithm or development) computation science, algorithm analysis and design, reverse engineering, and/or designing/developing computer and information systems, including engineering hardware and/or software.   
  • Strong Python, Spark/PySpark skills.
  • Strong Network and Protocol Analysis background.
  • Familiarity with customer tools.
  • TS SCI w/ poly

What Would be Nice to Have

  • Design, develop, deliver, and operate solutions to hard cryptologic computer science problems within a scientific framework.  
  • The solutions may arise in the forms of forensics and attack attribution, protection of critical networks, active systems warnings and indicators, active penetration into target systems, knowledge discovery of passive and active systems, or other cryptologic computer science mission support.  
  • Requisite computer science skills (operating systems, compiler theory, database theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structures are applied to each problem to provide state of the art techniques, tools, and approaches).

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