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Remote Computer Science Jobs in Philadelphia, PA

Soni Resources

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

... Data Science + Data Engineering) Location: Remote (Preference for Northeast/Mid-Atlantic; monthly ... Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a ...

Serigor, Inc.

UX Researcher (Remote)

Conshohocken, PA · On-site +1

Job Title: UX Researcher (Remote) Location: Conshohocken, PA Duration: 06 Months About you: * You ... Bachelor's degree in Human-Computer Interaction, Statistics, Psychology, Computer Science, or a ...

The Campbell?s Company

Data Scientist

Camden, NJ · On-site +1

$109K - $157K/yr

... Science, Statistics, Mathematics, Computer Science, Engineering, or a related fieldStrong ... Friday remote; Tuesday Thursday in-office)10 15% travel for company and customer ...

Campbell's

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

Pepperidge Farm, Incorporated

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

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All JobsComputer Science JobsRemote Computer Science JobsRemote Computer Science Jobs in Philadelphia, PA

Remote Computer Science information

See Philadelphia, PA salary details

$22.6K

$86.5K

$188.7K

How much do remote computer science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote computer science in Philadelphia, PA is $86,486.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,776.00 and $123,800.00 per year, depending on experience, location, and employer.

What Are Remote Computer Science Jobs?

Remote computer science jobs include a wide variety of roles focused on the use and analysis of computers and networks, including security specialists, network administrators, and software programmers. In these roles, you may develop hardware or software, control user accounts and permissions, analyze security procedures, manage confidential information, order repairs and replacements, manage inventory levels, conduct penetration tests, or manage a full development cycle for new software. Remote computer science jobs frequently use databases, private networks, intrusion detection systems, and remote conferencing software to help coordinate jobs. This is something of a catch-all term for computer-based positions, so if you are looking for a specific role, such as a remote programmer or remote computer engineer, you may need to narrow your search terminology.

How to make $1000 a week remotely?

Remote computer science professionals can earn $1000 or more weekly by taking on freelance projects, consulting, or working as a software developer with high-demand skills such as programming, data analysis, or cybersecurity. Building a strong portfolio, gaining certifications, and using platforms like Upwork or Freelancer can help secure consistent, well-paying remote work.

How do remote computer science professionals typically collaborate with their teams to ensure project success?

Remote computer science professionals usually rely on a mix of communication and project management tools—such as Slack, Zoom, GitHub, and Jira—to collaborate effectively with their teams. Regular virtual meetings, code reviews, and shared documentation help maintain alignment and transparency. While working remotely offers flexibility, it can also require proactive communication and self-management to avoid misunderstandings and stay on track with deliverables. Many teams adopt Agile methodologies to structure their work and foster collaboration, regardless of physical location.

What are the key skills and qualifications needed to thrive as a Remote Computer Science professional, and why are they important?

To thrive as a Remote Computer Science professional, you need strong programming skills, problem-solving abilities, and a relevant degree or equivalent experience in computer science or software engineering. Proficiency with coding languages (such as Python, Java, or C++), version control systems like Git, and remote collaboration tools (e.g., Slack, Jira, Zoom) is essential. Excellent communication, self-motivation, and time management are vital soft skills for working independently and with distributed teams. These skills and qualities enable efficient development, seamless teamwork, and successful project delivery in a remote environment.

Can I work remotely with a computer science degree?

Yes, many computer science roles can be performed remotely, especially in software development, programming, and IT support. Remote work often requires strong technical skills, familiarity with collaboration tools, and self-discipline to manage tasks independently.

What jobs pay 4000 a week without a degree?

Remote computer science roles such as freelance software developers, web developers, or cybersecurity consultants can earn $4,000 or more weekly without a formal degree, often relying on skills, experience, and certifications. These positions typically require proficiency in programming languages, problem-solving, and self-management, and may involve contract or project-based work. High earnings are usually associated with specialized skills, a strong portfolio, and a reliable client base.

What are remote computer science jobs?

Remote computer science jobs are positions that involve the application of computer science principles—such as programming, software development, data analysis, and cybersecurity—that can be performed from any location with internet access. These roles often include software engineer, web developer, data scientist, system administrator, and more. Remote computer science professionals collaborate with teams virtually, using digital communication and project management tools. This flexibility allows employees to work from home or anywhere in the world, offering a better work-life balance and access to global job opportunities.

How can I make $100,000 a year working from home?

Remote computer science professionals can reach a $100,000 annual income by gaining specialized skills in areas like software development, data science, or cybersecurity, and obtaining relevant certifications. Building a strong portfolio, gaining experience, and working for high-paying companies or freelancing can also increase earning potential while working remotely.
More about Remote Computer Science jobs
What are the most commonly searched types of Computer Science jobs in Philadelphia, PA? The most popular types of Computer Science jobs in Philadelphia, PA are:
What are popular job titles related to Remote Computer Science jobs in Philadelphia, PA? For Remote Computer Science jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science jobs in Philadelphia, PA look for? The top searched job categories for Remote Computer Science jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Remote Computer Science jobs? Cities near Philadelphia, PA with the most Remote Computer Science job openings:
Remote Computer Science jobs near you
Data Scientist

Data Scientist

Soni Resources

Conshohocken, PA • On-site, Remote

$175K/yr

Full-time

Re-posted 3 days ago

Job description

Data Scientist (Data Science + Data Engineering)
Location: Remote (Preference for Northeast/Mid-Atlantic; monthly travel to Plymouth Meeting, PA as needed)
Our client is building a data-driven culture where analytics, AI, and technology directly influence business decisions. They are seeking a Data Scientist who can translate complex business challenges into actionable insights while helping bring advanced analytics and machine learning solutions into production.
This role is ideal for someone who enjoys the full lifecycle of data science-from exploring data and building predictive models to partnering with engineering teams to deploy solutions that create measurable business value. The successful candidate will work closely with data engineers, business stakeholders, and executive leadership to help shape the future of analytics and AI across the organization.
While this is primarily a Data Science role, candidates should have a solid understanding of data engineering concepts and how models are operationalized within modern data ecosystems.
Responsibilities:
Data Science & Advanced Analytics
  • Analyze large and complex datasets to identify patterns, trends, and opportunities that support strategic business decisions.
  • Develop predictive models, scoring frameworks, and machine learning solutions that enhance business performance and decision-making.
  • Apply statistical and analytical techniques to solve real-world business problems and uncover actionable insights.
  • Continuously evaluate model effectiveness and recommend enhancements based on business outcomes and evolving data.
AI & Innovation
  • Contribute to the organization's growing AI strategy, including opportunities to leverage generative AI and emerging technologies.
  • Explore innovative approaches to automation, decision support, and workflow optimization through advanced analytics and AI solutions.
  • Partner with leadership to identify high-value use cases where AI can improve operational efficiency and decision quality.
Data Engineering Collaboration
  • Work closely with data engineering teams to ensure analytical solutions can be deployed, maintained, and scaled effectively.
  • Collaborate on the design and implementation of data pipelines that support machine learning and advanced analytics initiatives.
  • Help bridge the gap between model development and production deployment by ensuring solutions are practical, reliable, and business-ready.
  • Support efforts to improve data quality, accessibility, and governance across the organization.
Business Partnership
  • Engage directly with business stakeholders to understand challenges, define analytical approaches, and deliver impactful solutions.
  • Translate technical findings into clear, concise recommendations for both technical and non-technical audiences.
  • Serve as a trusted partner in helping business leaders make data-informed decisions.
Qualifications
Required
  • 3+ years of hands-on experience in Data Science, Analytics, Machine Learning, or a related quantitative field.
  • Proven experience developing predictive models or machine learning solutions in a business environment.
  • Strong proficiency in Python and modern data science libraries.
  • Advanced SQL skills and experience working with large-scale, complex datasets.
  • Experience applying statistical analysis and predictive modeling techniques to business problems.
  • Understanding of data engineering concepts, including data pipelines, model deployment, and production environments.
  • Experience working with cloud-based platforms such as Azure, AWS, or Google Cloud.
  • Strong communication and stakeholder management skills with the ability to explain technical concepts to business audiences.
Preferred
  • Experience collaborating closely with Data Engineering teams or supporting machine learning deployment initiatives.
  • Familiarity with distributed computing tools such as Spark or PySpark.
  • Experience developing AI-driven solutions, including Generative AI, Large Language Models (LLMs), or agent-based workflows.
  • Background in insurance, financial services, or other highly regulated industries.
  • Experience building production-grade machine learning applications.
  • 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 data.
  • Approaches challenges with curiosity and asks thoughtful questions.
  • Can balance analytical rigor with practical business impact.
  • Is comfortable working independently while collaborating across teams.
  • Takes ownership and drives projects from concept through implementation.
  • Learns new technologies and business domains quickly.
  • Values building solutions that can be used and adopted by the business-not just creating models.
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About Soni Resources

Sourced by ZipRecruiter

Soni is a premier staffing & recruitment company that is disrupting the human capital management space. Headquartered in New York, Soni has presence in 23 markets across the United States. We support each professional relationship with a cutting-edge approach, industry-leading insights, and a human touch. We are trusted to help companies and individuals tackle their challenges and capture their greatest opportunities. We are minority-owned, and diversity & inclusion is in our DNA. We are committed to creating environments where people are empowered to be their authentic selves.

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

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