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Remote Computer Science Fresh Graduate Jobs in Pennsylvania

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 ...

Motorola

PremierOne Remote System Admin

Indiana, PA · Remote

$80K - $90K/yr

... remote backfill coverage when necessary, and providing onsite support to customer sites needing ... Computer Science, Networking, Engineering, System Maintenance experience (public safety system ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Computer programming in one or more of the following: Python, R, Java, C++, or Matlab * Highly ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Interest in biological sciences, bioinformatics, data science, project management, computer science ...

CEI

Pega Developer

Pittsburgh, PA · Remote

$54.50 - $71.50/hr

Bachelor's degree in Computer Science, Information Systems, or related field. * 3+ years of ... Remote (U.S. Based) Work Authorization: Must be a U.S. Citizen Job Summary: We are seeking 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 Pennsylvania State University

$16.50 - $21.50/hr

For additional information on remote work at Penn State, seeNotice to Out of State Applicants. AND POSITION REQUIREMENTS We are seeking Electrical Engineering, Computer Science, and Computer ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Strong computer science fundamentals: data structures, algorithms, networking, distributed systems ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Strong computer science fundamentals: data structures, algorithms, networking, distributed systems ...

CSAA

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

CSAA

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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Remote Computer Science Fresh Graduate information

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

To thrive as a Remote Computer Science Fresh Graduate, you need a solid foundation in programming languages, algorithms, and software development principles, typically supported by a relevant degree. Familiarity with version control systems like Git, collaboration tools such as Slack or Jira, and cloud platforms is highly valued. Strong problem-solving abilities, self-motivation, and effective written communication are crucial soft skills for remote work success. These skills and qualities are essential to deliver high-quality work independently, collaborate efficiently with distributed teams, and adapt quickly to new challenges in a remote environment.

What are remote computer science fresh graduates?

Remote computer science fresh graduates are individuals who have recently completed a degree in computer science and are seeking or starting entry-level positions that allow them to work from home or any location outside a traditional office. These roles typically involve tasks such as software development, web development, or IT support, and require strong technical skills gained through academic coursework or internships. Remote positions offer flexibility and the opportunity to work for companies worldwide, but may also require strong self-motivation and communication skills to collaborate effectively with distributed teams.

What are some common challenges Remote Computer Science Fresh Graduates face during their first year, and how can they overcome them?

Remote Computer Science Fresh Graduates often encounter challenges like adapting to distributed team communication, managing time effectively without in-person supervision, and bridging the gap between academic knowledge and practical coding tasks. To overcome these, it's helpful to proactively seek feedback, participate in virtual team meetings, and utilize collaboration tools like Slack or GitHub. Building a strong routine, asking questions early, and leveraging mentorship opportunities can also make the transition smoother and support your long-term growth.
What are popular job titles related to Remote Computer Science Fresh Graduate jobs in Pennsylvania? For Remote Computer Science Fresh Graduate jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Fresh Graduate jobs in Pennsylvania look for? The top searched job categories for Remote Computer Science Fresh Graduate jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Computer Science Fresh Graduate jobs? Cities in Pennsylvania with the most Remote Computer Science Fresh Graduate job openings:
Remote Computer Science Fresh Graduate jobs near you
Data Scientist

Data Scientist

Soni Resources

Conshohocken, PA • On-site, Remote

$175K/yr

Full-time

Re-posted 2 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

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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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