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Full Time Ap Computer Science Jobs in Pennsylvania

Cmu

Data Scientist

Pittsburgh, PA

Requirements: * BS in data science, machine learning, computer science, statistics, or related ... Full time/Part time Full time Pay Basis Salary More Information: * Please visit "Why Carnegie ...

Cmu

Associate Data Scientist

Pittsburgh, PA

$57.30K - $57.80K/yr

Requirements: * BS in data science, machine learning, computer science, statistics, or related ... Full time/Part time Full time Pay Basis Salary More Information: * Please visit "Why Carnegie ...

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What are the key skills and qualifications needed to thrive as a Full-Time AP Computer Science Teacher, and why are they important?

To excel as a Full-Time AP Computer Science Teacher, you need a solid background in computer science principles, programming languages (such as Java), and typically a teaching credential or relevant degree. Familiarity with AP curriculum frameworks, learning management systems, and grading platforms is essential. Strong communication, classroom management, and the ability to inspire and engage students are vital soft skills for this role. These skills ensure effective teaching, student success on AP exams, and a supportive learning environment.

What are some common challenges faced by full-time AP Computer Science teachers, and how can they be addressed?

Full-time AP Computer Science teachers often encounter challenges such as keeping students engaged with complex topics, staying updated with evolving curriculum standards, and managing diverse skill levels in the classroom. To address these, teachers can incorporate hands-on projects, leverage real-world examples, and participate in professional development workshops. Collaborating with fellow educators and utilizing resources from organizations like the College Board can also help in delivering effective and up-to-date instruction.

What is a Full Time AP Computer Science teacher?

A Full Time AP Computer Science teacher is an educator who teaches Advanced Placement (AP) Computer Science courses, such as AP Computer Science A or AP Computer Science Principles, to high school students on a full-time basis. These teachers are responsible for delivering curriculum aligned with the College Board's AP standards, preparing students for the AP exams, and supporting students' understanding of programming concepts and computer science theory. They often engage in lesson planning, classroom instruction, grading, and providing additional support to help students succeed in a college-level course environment.

What is the difference between Full Time Ap Computer Science vs Part Time Ap Computer Science?

AspectFull Time Ap Computer SciencePart Time Ap Computer Science
CredentialsHigh school AP Computer Science certification, college creditSame as full-time, often with flexible scheduling
Work EnvironmentFull classroom or lab setting, regular hoursPart-time classes, flexible hours, possibly online
Employer & Industry UsageHigh schools, colleges, educational programsSame as full-time, often for supplementary instruction
Search & Comparison IntentUnderstanding full-time teaching roles in AP Computer ScienceLooking for part-time or flexible teaching options

Full Time AP Computer Science roles involve teaching or preparing students in a full-time setting, often with a structured schedule and classroom environment. Part Time AP Computer Science positions offer more flexible hours, suitable for educators or tutors seeking part-time work. Both roles require similar credentials but differ mainly in scheduling and work environment.

What are the most commonly searched types of Ap Computer Science jobs in Pennsylvania? The most popular types of Ap Computer Science jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Full Time Ap Computer Science jobs? Cities in Pennsylvania with the most Full Time Ap Computer Science job openings:
Full Time Ap Computer Science jobs near you

Data Scientist

Cmu

Pittsburgh, PA

Full-time

Posted 20 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 eight (8) 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 five (5) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with two (2) years of experience.
  • 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

About CMU

Sourced by ZipRecruiter

Industry

Offices of mental health practitioners

Company size

201 - 500 Employees

Headquarters location

Harrisburg, PA, US

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