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Recent Computer Science Graduate Jobs in Philadelphia, PA

Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields. * Proficiency in programming languages and data tools such as ...

Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience ...

Employee discount programs Posting Summary The Graduate Program in Data Science at Rutgers ... Recently, Rutgers-Camden earned Carnegie classification as an R2 research university due to a high ...

... graduate, and doctoral levels and 1,100 faculty and staff members. Located in Camden, N.J ... Recently, Rutgers-Camden earned Carnegie classification as an R2 research university due to a high ...

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Recent Computer Science Graduate information

See Philadelphia, PA salary details

$90.3K

$108.5K

$124.1K

How much do recent computer science graduate jobs pay per year?

As of Jul 6, 2026, the average yearly pay for recent computer science graduate in Philadelphia, PA is $108,476.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $117,600.00 per year, depending on experience, location, and employer.

What types of projects or responsibilities can a Recent Computer Science Graduate expect in their first professional role?

As a Recent Computer Science Graduate, you can expect to participate in a variety of hands-on projects, such as developing features, fixing bugs, and writing unit tests under the guidance of more experienced engineers. You may also be involved in code reviews, documentation, and collaborative problem-solving sessions with your team. Early roles often include learning company-specific technologies and best practices, providing you with valuable on-the-job training and mentorship. Working closely with senior developers and cross-functional teams will help you build foundational skills and contribute meaningfully to product goals.

What are the key skills and qualifications needed to thrive in the Recent Computer Science Graduate position, and why are they important?

A Recent Computer Science Graduate should possess a solid understanding of programming languages, algorithms, data structures, and software development principles, backed by a relevant degree. Familiarity with tools like Git, integrated development environments (IDEs), and experience with databases or cloud platforms is often expected, and certifications such as AWS Cloud Practitioner or completion of coding bootcamps can be advantageous. Strong problem-solving abilities, communication skills, and a collaborative mindset help graduates excel in team environments and adapt to workplace challenges. These competencies are essential to effectively contribute to projects, learn new technologies quickly, and work successfully in dynamic tech teams.

What is a Recent Computer Science Graduate job?

A Recent Computer Science Graduate job is an entry-level position designed for individuals who have recently completed a degree in computer science or a related field. These roles often involve software development, data analysis, IT support, or cybersecurity tasks. Employers typically seek candidates with foundational programming skills, problem-solving abilities, and knowledge of algorithms, databases, and software development methodologies. These positions provide hands-on experience, mentorship, and opportunities for career growth in the tech industry.

What are popular job titles related to Recent Computer Science Graduate jobs in Philadelphia, PA? For Recent Computer Science Graduate jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Recent Computer Science Graduate jobs in Philadelphia, PA look for? The top searched job categories for Recent Computer Science Graduate jobs in Philadelphia, PA are:
Infographic showing various Recent Computer Science Graduate job openings in Philadelphia, PA as of June 2026, with employment types broken down into 69% Full Time, 26% Part Time, and 5% Summer. Highlights an 100% In-person job distribution, with an average salary of $108,476 per year, or $52.2 per hour.

Data Science Intern

Athenago

Wilmington, DE

Part-time

Posted 28 days ago


Job description

At Athena, we empower possibility through transformative delegation. True leaders reflect on what they want and map the path to get there. We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ongoing support throughout the journey. The result: 10x more leverage, more time, and a greater impact.

We are on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks.

Role Overview

The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and clients, delivering tailored recommendations based on robust data insights. You will actively contribute to enhancing our delegation platform by leveraging predictive modeling, data analytics, and optimization techniques.

Responsibilities
  • Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights.

  • Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover trends and generate actionable recommendations.

  • Collaborate closely with data science, product, and engineering teams to integrate models into production systems.

  • Present findings through clear reports, visualizations, or dashboards that inform business decisions and improve the client-XP matching process.

  • Support continuous model optimization and validation efforts.

Qualifications
  • Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields.

  • Proficiency in programming languages and data tools such as Python (with libraries like pandas, scikit-learn) and SQL for data manipulation.

  • Strong foundation in statistics and machine learning concepts (regression, classification, clustering) and familiarity with building predictive models.

  • Experience working with datasets - cleaning data, feature engineering, and using data visualization tools to present insights.

  • Excellent problem-solving abilities and attention to detail, with the ability to interpret data to make logical recommendations.

Preferred Qualifications
  • Familiarity with machine learning frameworks or libraries (e.g. TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models.

  • Prior exposure to recommendation algorithms or matching systems through coursework or projects.

  • Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake).

  • Previous internship or project experience demonstrating practical data science applications.

  • Understanding of human resource or matchmaking domains (e.g. matching candidates to roles or services to clients) is a plus.

Benefits
  • Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your growth.

  • Hands-On Experience: Work on real-world projects that have direct impact on Athena's services. You'll have ownership of meaningful tasks and contribute code to production-level systems, building your portfolio.

  • Inclusive Culture: Experience Athena's collaborative and inclusive culture firsthand. Interns participate in team meetings, social events, and all company perks - you'll be treated as an equal team member throughout your internship.

  • Path to Opportunities: A successful internship can pave the way to future roles at Athena.com. Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.