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Summer Math Major Computer Science Minor Jobs in Pittsburgh, PA

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$7

$26

$37

How much do summer math major computer science minor jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for summer math major computer science minor in Pittsburgh, PA is $26.98, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $28.46 per hour, depending on experience, location, and employer.

What jobs can you get with a minor in a CS degree?

A summer math major with a computer science minor can pursue roles such as software developer, data analyst, quality assurance tester, or technical support specialist. These positions often require programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or SQL, and may involve working in team environments or on project-based tasks.

What should I minor in if my major is computer science?

For a Summer Math Major with a Computer Science minor, choosing a minor in mathematics, data science, or statistics can complement your major by strengthening analytical and problem-solving skills. Other relevant minors include software engineering, cybersecurity, or information systems, depending on your career interests and desired specialization.

Is a math minor worth it for CS?

For a Summer Math Major with a Computer Science Minor, a math minor can enhance problem-solving skills and provide a strong foundation in algorithms and data analysis, which are valuable in many CS roles. It can also improve competitiveness for technical positions requiring quantitative expertise, though its value depends on career goals and the specific job market.

What is the difference between Summer Math Major Computer Science Minor vs Data Analyst?

AspectSummer Math Major Computer Science MinorData Analyst
Required CredentialsMath and CS coursework, minor in CS, possibly internshipsDegree in Math, Statistics, or related field; often with data analysis skills
Work EnvironmentAcademic settings, research projects, internshipsBusiness, finance, tech companies, data-driven environments
Industry UsageEducational institutions, research labs, tech companiesCorporate, healthcare, marketing, finance sectors
Common Search/ComparisonYesNo

The Summer Math Major Computer Science Minor typically prepares students for academic or research roles with a focus on mathematical and programming skills. In contrast, a Data Analyst applies these skills in business settings to interpret data and support decision-making. While both roles require strong analytical skills, their work environments and industry applications differ significantly.

What can you do with a math major and computer science minor?

A math major with a computer science minor qualifies for roles such as software developer, data analyst, or systems analyst, where strong problem-solving and programming skills are essential. These degrees prepare individuals for careers in software engineering, data science, cybersecurity, and quantitative analysis, often requiring knowledge of programming languages like Python, Java, or C++ and familiarity with algorithms and data structures.
What are the most commonly searched types of Math Major Computer Science Minor jobs in Pittsburgh, PA? The most popular types of Math Major Computer Science Minor jobs in Pittsburgh, PA are:
What are popular job titles related to Summer Math Major Computer Science Minor jobs in Pittsburgh, PA? For Summer Math Major Computer Science Minor jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Summer Math Major Computer Science Minor jobs in Pittsburgh, PA look for? The top searched job categories for Summer Math Major Computer Science Minor jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Summer Math Major Computer Science Minor jobs? Cities near Pittsburgh, PA with the most Summer Math Major Computer Science Minor job openings:
Summer Math Major Computer Science Minor jobs near you
Associate Data Scientist

Associate Data Scientist

Software Engineering Institute

Pittsburgh, PA • On-site

$57K - $57K/yr

Full-time

Re-posted 8 days ago

Job description

What We Do:
Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity challenges. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite cybersecurity professionals and university faculty to build new technologies that will influence national cybersecurity strategy for decades to come. You will co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences.
Our team works on a wide range of projects. Our current work includes research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research programs, develop human-in-the-loop machine learning solutions, and build classifiers to identify security vulnerabilities. If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you!
Requirements:
  • BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with three (3) years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with one (1) year of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline.
  • Willingness to complete modest travel to various locations to support the SEI's overall mission.
  • You will be subject to a background check and must be able obtain and maintain a U.S. Department of War security clearance.

Knowledge, Skills and Abilities:
  • Experience in predictive modeling, data science, and/or AI & machine learning
  • Deep understanding of statistical modeling techniques and advanced data analytics
  • Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.)
  • Innovative and inquisitive with ability to imagine novel analytical solutions to problems Thrives in a multi-disciplinary environment
  • Strong communication skills
  • Expertise in one or more of the following:
  • Recommendation systems
  • Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.)
  • NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering)
  • Causal inference / uplift modeling / synthetic controls
  • Modern ML frameworks: LightGBM/XGBoost, CatBoost, PyTorch,JAX, TensorFlow)
  • LLMs / agentic workflows (LangChain/LlamaIndex/Haystack)
  • Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar)
  • Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks)

Desired Experience:
  • Experience in cybersecurity and privacy is a plus is a plus
  • Experience in U.S. Government work and/or with FFRDCs, UARCs an National Labs is a plus
  • Demonstrated ability to learn new concepts and grow into new areas of work

Location
Arlington, VA, Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full time/Part time
Full time
Pay Basis
SalaryMore Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

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