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How much do freelance computer science graduate jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for freelance computer science graduate in the United States is $22.97, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $18.75 per hour, depending on experience, location, and employer.

What is a freelance computer science graduate?

Freelance computer science graduates are individuals who have completed a degree in computer science and offer their technical skills on a project or contract basis, rather than being employed full-time by a single organization. They typically work on tasks such as software development, web design, data analysis, or IT consulting for various clients. Freelancers enjoy flexibility in their work schedules and can choose projects that align with their interests and expertise. This career path requires strong technical abilities, self-motivation, and good communication skills to manage client relationships and project requirements.

What are the key skills and qualifications needed to thrive as a freelance computer science graduate?

To thrive as a Freelance Computer Science Graduate, you need a solid grounding in programming, algorithms, and problem-solving, typically supported by a computer science degree. Familiarity with coding languages (such as Python, Java, or JavaScript), version control systems like Git, and platforms like GitHub or Upwork is often required. Strong time management, self-motivation, and effective client communication are crucial soft skills for building and maintaining client relationships. These competencies ensure you can deliver quality technical solutions independently, meet client expectations, and sustain a successful freelance career.

What are some common challenges freelance computer science graduates face when starting out, and how can they overcome them?

Freelance computer science graduates often encounter challenges such as building a client base, managing irregular workloads, and staying updated with rapidly evolving technologies. To overcome these hurdles, it's helpful to actively network on platforms like LinkedIn and Upwork, continually enhance your technical skills through online courses, and set clear work routines for time management. Seeking mentorship from experienced freelancers and joining relevant online communities can also provide valuable support and guidance as you establish your freelance career.

What is the difference between Freelance Computer Science Graduate vs Software Developer?

AspectFreelance Computer Science GraduateSoftware Developer
CredentialsDegree in Computer Science, possibly certificationsDegree often required; certifications optional
Work EnvironmentSelf-employed, remote or on-site projectsEmployed by companies, office or remote
Industry UsageFreelance platforms, consulting, project-based workTech companies, startups, corporate IT teams

Freelance Computer Science Graduates typically work independently on various projects, leveraging their degree and skills, while Software Developers are usually employed by organizations to develop software as part of a team. Both roles require technical knowledge, but their work settings and employment structures differ significantly.

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Infographic showing various Freelance Computer Science Graduate job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $47,772 per year, or $23 per hour.

Data Science Graduate

Roseville, CA • Hybrid

Hewlett Packard Enterprise Development LP
IT Services • 10K+ employees

Full-time

Posted 11 days ago


Hewlett Packard Enterprise rating

8.7

Company rating: 8.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

18th of 161 rated electronics manufacturers


Job description

Data Science GraduateThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

This requisition may be classified as on desk or hybrid depending on location and role.Job Family Definition:

Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data

into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems.

Management Level Definition:

Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.

Responsibilities:

Participates in the analysis and validation of data sets/solutions/user experience.

Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.

Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution.

Supports the research, identification and delivery of data science solutions to problems.

Supports visualization of the model's insights, user experience and configuration tools for the analytics model.

Education and Experience Required:

Bachelors degree in Data Science, Statistics, Operations Research, Computer Science or equivalent.

Typically 0-2 years experience.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates#grads

Job:

Engineering

Job Level:

TCP_01For the Data Analyst position, (undergrad degree candidates): "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 66,800 - 126,000 in Colorado // 71,700 - 136,300 in Massachusetts // 71,700 - 145,300 in California // 62,900 - 145,300 in Minnesota & North Carolina & Texas & Wisconsin
The listed salary range reflects base salary. Variable incentives may also be offered."
For the Data Scientist position, (master's degree candidates): "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 85,600 - 163,000 in Colorado // 92,700 - 175,700 in Massachusetts // 92,700 - 187,500 in California // 81,500 - 187,500 in Minnesota & North Carolina & Texas & Wisconsin
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

The estimated job application period closure is July 6 2027; this timeline is provided for transparency and internal planning purposes.

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.


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