2

Remote Library Data Entry Jobs in Philadelphia, PA

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Remote (Preference for Northeast/Mid-Atlantic; monthly travel to Plymouth Meeting, PA as needed ... Strong proficiency in Python and modern data science libraries. * Advanced SQL skills and ...

Associate Data Scientist

Philadelphia, PA · On-site +1

$59K - $60K/yr

... relevant libraries in Python/R. Why Choose Ivy? * Best Employer: A prestigious honor to be ... Hybrid and remote work flexibility. * Empowering Values: Live by values that prioritize teamwork ...

New

Be Seen First

Independent Medicare Agent (Remote)

Philadelphia, PA · Remote

$104K - $136K/yr

Remote Company Overview At Healthpilot, we're passionate about helping seniors get into the right ... Focus on sales and relationships, not data entry and paperwork A Better Fit Means a Stronger Book

SSS VI - Planning Department

PA · On-site +1

$25.23/hr

Government Services Center - Westtown, PA Job Type: Full Time, Non Exempt Remote Employment ... Word Processing and data entry (prepare, update and distribute lists, compose and proofread ...

Advertising Sales Executive

Wilmington, DE · On-site +1

$71K - $90K/yr

... data-entry tools, and sales performance tracking software. Experience with Microsoft Dynamics 365, Zoho CRM, or Salesforce is a plus. What's in it for You: Employment through EOR partner Remote-first ...

Water Resources Engineer

Blue Bell, PA · Remote

$75K - $103K/yr

... data entry; and * Work with a team of Water Resources Engineers and GIS specialists supporting ... Remote Skills / Qualifications Required Qualifications: * Bachelor or Masters of Science in ...

next page

Showing results 1-20

Remote Library Data Entry information

See Philadelphia, PA salary details

$44.4K

$74.8K

$108K

How much do remote library data entry jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote library data entry in Philadelphia, PA is $74,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $95,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote Library Data Entry vs Remote Book Cataloger?

AspectRemote Library Data EntryRemote Book Cataloger
CredentialsBasic computer skills, data entry experienceLibrary science knowledge, cataloging standards
Work EnvironmentHome-based, computer-focusedHome-based, library or archival setting
Industry UsageLibraries, educational institutionsLibraries, archives, special collections
Search IntentData entry, cataloging, library database managementCataloging, metadata creation, classification

Remote Library Data Entry involves inputting library information into databases, focusing on accuracy and speed. Remote Book Cataloger requires knowledge of cataloging standards and classification systems to organize library collections. While both roles are home-based and involve library data, catalogers typically need specialized training, making their tasks more complex and standards-driven.

What are popular job titles related to Remote Library Data Entry jobs in Philadelphia, PA?

For Remote Library Data Entry jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Remote Library Data Entry jobs in Philadelphia, PA look for?

The top searched job categories for Remote Library Data Entry jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Remote Library Data Entry jobs?

Cities near Philadelphia, PA with the most Remote Library Data Entry job openings:

Infographic showing various Remote Library Data Entry job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $74,838 per year, or $36 per hour.

Data Scientist

Soni Resources

Conshohocken, PA • On-site, Remote

$175K/yr

Full-time

Re-posted 11 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.

Soni Resources logo

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