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Computer Science Data Science Jobs in Pennsylvania

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative discipline. The ideal candidate: * Enjoys solving complex business problems through ...

Education Requirements A minimum of a BS (or equivalent) in Marketing, Business Strategy, Business Consulting, Data Science, Computer Science, Statistics, Mathematics, Decision Science, Economics ...

Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain ... A Ph.D. degree in a quantitative discipline (e.g., computer science, electrical and computer ...

Lead Data Scientist

Chadds Ford, PA · On-site +1

$144K - $250K/yr

Master's Degree or PhD in Statistics, Mathematics, Computer Science, Data Science, Engineering, Economics, or other quantitative fields * Advanced machine learning modeling and/or technical expertise ...

Data Science Tutor

Harrisburg, PA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field Work location can be fully on-site located in State College, PA or Reston , VA. Questions related to flexible ...

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Showing results 1-20

Computer Science Data Science information

See Pennsylvania salary details

$37.6K

$123K

$197K

How much do computer science data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for computer science data science in Pennsylvania is $123,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $136,300.00 per year, depending on experience, location, and employer.

Can a computer science data scientist work as a data scientist?

A computer science data scientist can work as a data scientist because both roles involve analyzing data, developing algorithms, and using tools like Python or R. The main difference is that a data scientist often focuses more on statistical analysis and data visualization, while a computer science data scientist may have a stronger background in software development and machine learning. Skills in programming, data manipulation, and understanding of algorithms are essential for both positions.

Is a computer science data science degree good for data science?

A computer science data science degree provides a strong foundation in programming, algorithms, and data analysis, which are essential skills for data science roles. It often includes coursework in machine learning, statistics, and data management, making it well-suited for entry-level and advanced data science positions. Practical experience with tools like Python, R, and SQL can further enhance job prospects in the field.

What are popular job titles related to Computer Science Data Science jobs in Pennsylvania?

For Computer Science Data Science jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Computer Science Data Science jobs in Pennsylvania look for?

The top searched job categories for Computer Science Data Science jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Computer Science Data Science jobs?

Cities in Pennsylvania with the most Computer Science Data Science job openings:

Infographic showing various Computer Science Data Science job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,033 per year, or $59.2 per hour.

Full-time

Re-posted 13 days ago


Job description

The AI & Data Science Engineering Intern will support cutting-edge projects at the intersection of software engineering, applied AI, and materials innovation. The intern will work on initiatives that combine agentic AI workflows, computer vision, and data science to accelerate research and development in construction materials. The role includes building end-to-end prototypes that integrate backend services, AI models, and user interfaces to drive digital transformation across the organization.

Duties and Responsibilities:

  • Assist in the design and development of agentic AI workflows, integrating large language models with data sources and multi-agent orchestration.
  • Develop and maintain backend APIs and services using frameworks such as FastAPI to support AI and data science applications.
  • Build interactive dashboards and prototypes with Streamlit, Reflex, or similar tools for internal stakeholders.
  • Contribute to computer vision workflows, such as SEM image analysis and defect detection, to automate materials characterization.
  • Perform data wrangling, exploratory analysis, and statistical modeling to uncover insights from experimental, operational, and customer datasets.
  • Collaborate with the team to design, implement, and test machine learning models (regression, clustering, NLP, computer vision).
  • Document methodologies, maintain reproducible codebases, and present results to both technical and business stakeholders.
  • Stay current with emerging tools, frameworks, and best practices in agentic AI, software engineering, computer vision, and data science.

Qualification:

  • Currently pursuing a Master's or PhD in Computer Science, Data Science, Engineering, or a related field from an accredited university with a minimum 3.0 GPA.
  • Strong programming skills in Python with experience in libraries such as pandas, scikit-learn, OpenCV, TensorFlow/PyTorch.
  • Experience with backend frameworks (FastAPI, Flask, Django) and frontend/UI tools (Streamlit, Reflex, React-based).
  • Familiarity with LLMs, agentic AI frameworks, or orchestration tools (LangChain, LlamaIndex, or custom pipelines).
  • Solid understanding of machine learning and computer vision principles.
  • Interest in applying AI/ML to industrial and materials science challenges.

Additional Information:

Work Location: Carlisle, PA. No travel required. Remote work is not available for this position.

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