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Applied Mathematics Computer Science Jobs in Pennsylvania

Pursuing or recently completed a degree in Computer Science, Applied Mathematics, Data Science, or a related field. * Strongfoundation in machine learning, deep learning, and natural language ...

We are looking for a highly experienced Applied Data Scientist to play a leading role in shaping ... Mathematics, Computer Science, Physics, or Robotics.- Strong command of Python/SQL for data ...

We are looking for a highly experienced Applied Data Scientist to play a leading role in shaping ... Mathematics, Computer Science, Physics, or Robotics.- Strong command of Python/SQL for data ...

Showing results 41-60

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.

What can you do with a BS in applied mathematics computer science?

A BS in applied mathematics and computer science prepares graduates for roles such as data analyst, software developer, quantitative analyst, or systems analyst. These positions often require skills in programming, statistical analysis, and problem-solving, and may involve working with tools like Python, R, or SQL in various industries including finance, technology, and engineering.

What can I do with a degree in applied mathematics and computer science?

A degree in applied mathematics and computer science prepares individuals for roles such as data analyst, software developer, quantitative analyst, or systems engineer. These roles often require skills in programming, statistical analysis, and problem-solving, and may involve working with tools like Python, R, or MATLAB in various industries including finance, technology, and research.

Is applied mathematics related to computer science?

Applied mathematics is closely related to computer science, as it provides foundational concepts such as algorithms, data analysis, and modeling that are essential in computing. Many computer science roles, including those in software development and data science, require strong mathematical skills and knowledge of mathematical tools like linear algebra and calculus.
What are popular job titles related to Applied Mathematics Computer Science jobs in Pennsylvania? For Applied Mathematics Computer Science jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Applied Mathematics Computer Science jobs in Pennsylvania look for? The top searched job categories for Applied Mathematics Computer Science jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Applied Mathematics Computer Science jobs? Cities in Pennsylvania with the most Applied Mathematics Computer Science job openings:

Software Engineering Intern

Cadence Design Systems, Inc.

Pittsburgh, PA • On-site

Full-time

Re-posted 3 days ago


Cadence Design Systems rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies


Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Basic Requirements:
Educational Background
  • Pursuing or recently completed a degree in Computer Science, Applied Mathematics, Data Science, or a related field.
  • Strong foundation in machine learning, deep learning, and natural language processing (NLP) and LLM.

Technical Skills
  • Proficiency in Python and experience with frameworks like PyTorch, TensorFlow, SciKit, etc.
  • Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases.
  • Comfortable working with LLM APIs and integrating them into applications.
  • A solid understanding of machine learning concepts (e.g., supervised/unsupervised learning, NLP, computer vision) and algorithms is crucial.
  • Proficiency in Python is essential. C++ also valuable.

Problem-Solving & Collaboration
  • Ability to work in a fast-paced research and development environment.
  • Strong analytical thinking and debugging skills.
  • Experience with rapid prototyping in open-source AI/ML projects.
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