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Math Major Computer Science Minor information

What is a Math Major Computer Science Minor job?

A Math Major with a Computer Science Minor typically works in fields that require strong analytical and computational skills, such as data science, software development, finance, or applied mathematics. They use their mathematical background to solve complex problems and their computer science knowledge to implement algorithms or develop software solutions. Common roles include data analyst, software engineer, actuarial analyst, or quantitative researcher. Their unique skill set allows them to bridge the gap between theoretical math and practical computing applications.

What are the key skills and qualifications needed to thrive in the Math Major Computer Science Minor position, and why are they important?

A Math Major with a Computer Science Minor should have strong analytical, mathematical, and programming abilities, often supported by a bachelor's degree in mathematics with coursework in algorithms, data structures, and statistical analysis. Familiarity with tools like Python, MATLAB, R, or SQL, and experience using version control systems such as Git, are commonly required in technical roles. Excellent problem-solving, attention to detail, and strong communication skills help individuals collaborate effectively and present technical findings clearly. These skills and qualifications are vital for solving complex problems, driving data-driven decision-making, and succeeding in interdisciplinary technical environments.

What types of entry-level roles are available for candidates with a background as a Math Major and Computer Science Minor?

Math Majors with a Computer Science Minor are frequently hired for entry-level positions such as data analyst, software engineer, quantitative analyst, research assistant, or business intelligence associate. In these roles, you may analyze data, write code, develop algorithms, or assist in software development projects, often as part of a collaborative, cross-functional team. This combination of skills opens doors to diverse industries including finance, technology, consulting, healthcare, and academia. As you gain experience, there are ample growth opportunities toward more specialized or senior positions such as data scientist, machine learning engineer, or quantitative researcher.

What are the most commonly searched types of Math Major Computer Science Minor jobs in Washington? The most popular types of Math Major Computer Science Minor jobs in Washington are:
What are popular job titles related to Math Major Computer Science Minor jobs in Washington? For Math Major Computer Science Minor jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Math Major Computer Science Minor jobs in Washington look for? The top searched job categories for Math Major Computer Science Minor jobs in Washington are:
What cities in Washington are hiring for Math Major Computer Science Minor jobs? Cities in Washington with the most Math Major Computer Science Minor job openings:
Math Major Computer Science Minor jobs near you
Infographic showing various Math Major Computer Science Minor job openings in Washington as of June 2026, with employment types broken down into 72% Full Time, 24% Part Time, and 4% Contract. Highlights an 100% In-person job distribution.

Cryptologic Computer Scientist

GRVTY

Fort George G Meade, MD

Other

Posted 16 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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