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Remote Librarian Data Jobs (NOW HIRING)

FocusKPI Inc.

Data Science Intern

Boston, MA · Remote

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... Working knowledge of Python for data analysis and modeling, including common data-science libraries ...

FocusKPI Inc.

Data Science Intern

Boston, MA · On-site +1

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... Working knowledge of Python for data analysis and modeling, including common data-science libraries ...

Azumo

Data Scientist, Applied AI - Remote

... data and analytics infrastructure. The position is FULLY REMOTE , based in Latin America ... Ingest, clean and transform large datasets using libraries like pandas , NumPy , and Spark

Kemper

Data Scientist

Cincinnati, OH · On-site +1

Strong proficiency in Python, including experience with common data science libraries such as ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Kemper

Data Scientist

Chicago, IL · On-site +1

Strong proficiency in Python, including experience with common data science libraries such as ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Kemper

Data Scientist

Dallas, TX · On-site +1

Strong proficiency in Python, including experience with common data science libraries such as ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

Team members who choose virtual / remote work should have an adequate space to serve as their home ... Must have experience using libraries like tensorflow or pytorch * Must have experience preparing ...

Navtech, Inc.

Sr Data Analyst

Atlanta, GA · On-site +1

$82K - $104K/yr

Atlanta, GA, Remote Duration : 6 to 12 Months Contract to Hire The client is not willing to sponsor ... Work with data governance to document and manage access to the team's data library Thanks for your ...

Kemper

Data Scientist

Alpharetta, GA · On-site +1

Strong proficiency in Python, including experience with common data science libraries such as ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Kemper

Data Scientist

Boston, MA · On-site +1

Strong proficiency in Python, including experience with common data science libraries such as ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Kemper

Data Scientist

Charlotte, NC · On-site +1

Strong proficiency in Python, including experience with common data science libraries such as ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

Team members who choose virtual / remote work should have an adequate space to serve as their home ... Must have experience using libraries like tensorflow or pytorch * Must have experience preparing ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · Remote

Team members who choose virtual / remote work should have an adequate space to serve as their home ... Must have experience using libraries like tensorflow or pytorch * Must have experience preparing ...

Confluence Technologies

Software Engineer, Data Team

$117K - $140K/yr

US -Remote (EST) Why Confluence? At Confluence, we've always been driven by a commitment to ... single framework or UI library. We value depth in the core technologies and engineering ...

SOSi

Data Scientist

OR · On-site +1

Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Urban SDK

Data Engineer

$117K - $140K/yr

Strong proficiency in Python and associated libraries for data engineering (pandas, PySpark, etc ... Jacksonville, FL (Town Center Area) or Remote * Type: Full-time * Reports to: Director of ...

SOSi

Data Scientist

OR · Remote

Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Magpie Health Analytics

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

Proficiency with Python and libraries such as Pandas, PySpark, or Numpy. * Experience with modern ... Experience with data pipeline orchestration frameworks or serverless tools (e.g., AWS StepFunctions ...

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Remote Librarian Data information

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How much do remote librarian data jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote librarian data in the United States is $74,164.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $94,500.00 per year, depending on experience, location, and employer.

What is a remote librarian data?

A Remote Librarian Data specialist is a professional who manages, organizes, and maintains digital library records and databases from a remote location. Their responsibilities often include cataloging digital resources, supporting virtual library users, and ensuring the accuracy and accessibility of data. They may also assist with digital archiving, metadata management, and troubleshooting access issues. Remote positions allow these specialists to perform their duties online rather than in a physical library setting, making the role flexible and adaptable to various types of institutions.

What are the key skills and qualifications needed to thrive as a remote librarian data?

To thrive as a Remote Librarian (Data), you need strong research skills, knowledge of information organization, and a degree in library science or a related field. Familiarity with digital library systems, metadata standards, and data management tools like MARC, Dublin Core, or integrated library systems is essential. Excellent communication, self-motivation, and attention to detail are crucial soft skills for remote collaboration and managing digital resources. These abilities ensure efficient data organization, reliable access to information, and effective support for users in a virtual environment.

How does a remote librarian data typically collaborate with other team members and departments?

Remote Librarian Data professionals often work closely with IT teams, data analysts, and subject matter experts to organize, maintain, and enhance digital library resources. Effective communication is essential, as much of the collaboration occurs through virtual meetings, emails, and project management tools. Regular coordination ensures that data is accurately cataloged, accessible, and meets the needs of both library users and organizational goals. This role may also involve providing support or training to staff on data management best practices.
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Remote Librarian Data jobs near you
Infographic showing various Remote Librarian Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $74,164 per year, or $35.7 per hour.

Data Science Intern

Boston, MA • Remote

FocusKPI Inc.
Computing Infrastructure Providers, Data Processing, Web Hosting • 51 - 200 employees
Learn more about FocusKPI Inc.external

Other

Posted 11 days ago

Job description

Data Science Intern
Statistical Modeling & Marketing Measurement
Remote  |  Internship  |  Full-time  |  3 months
About the Role
We are looking for a curious and analytically minded Data Science Intern to support the development and evaluation of statistical and machine learning models for marketing measurement. This role is designed for someone with strong quantitative fundamentals who wants hands-on experience applying regression, model diagnostics, validation, and data analysis to real business problems. You will work closely with experienced data scientists, learn how modeling choices affect interpretation and business decisions, and contribute clean, reproducible analytical work.
Responsibilities
  • Support the development and evaluation of models including regression, time-series, and other statistical or machine learning approaches, with attention to predictive performance, stability, and interpretability.
  • Prepare and explore data using Python and SQL; perform data-quality checks, feature construction, descriptive analysis, and visualization to understand modeling inputs and outcomes.
  • Apply core model-validation techniques such as train/validation/test splits, cross-validation, baseline comparisons, and appropriate performance metrics.
  • Investigate common statistical issues including multicollinearity, overfitting, residual patterns, autocorrelation, heteroskedasticity, and unstable coefficients, with guidance from senior team members.
  • Test and compare reasonable modeling choices such as feature transformations, regularization settings, and model specifications, and summarize how these choices affect model results.
  • Interpret model outputs and connect technical findings to practical marketing or business questions while clearly stating assumptions and limitations.
  • Contribute to reproducible analytical workflows for model training, validation, sensitivity checks, and result comparison.
  • Write clear Python and SQL code and communicate methods, findings, assumptions, and open questions in a structured and understandable way.

Basic Qualifications
  • Strong foundation in statistics and regression: understanding of linear regression, key model assumptions, coefficient interpretation, regularization concepts, and basic statistical inference.
  • Solid quantitative fundamentals in probability, statistics, and linear algebra; familiarity with calculus or optimization concepts is helpful.
  • Working knowledge of Python for data analysis and modeling, including common data-science libraries; basic to intermediate SQL skills for data extraction and transformation.
  • Understanding of model evaluation: training versus validation data, cross-validation, common regression metrics, overfitting, and the importance of out-of-sample performance.
  • Ability to reason through modeling problems: investigate unexpected results, form hypotheses about root causes, test alternatives, and explain conclusions using evidence.
  • Clear communication skills: ability to explain analytical methods, assumptions, results, and limitations to technical teammates and learn from feedback.
  • Currently pursuing a degree in statistics, computer science, data science, machine learning, applied mathematics, econometrics, operations research, or a closely related quantitative field.

Preferred Qualifications
  • Coursework, research, or project experience using regression, time-series analysis, statistical modeling, or machine learning.
  • Exposure to Marketing Mix Modeling (MMM), marketing analytics, attribution, or other measurement problems.
  • Basic understanding of concepts such as adstock, saturation, incremental impact, ROI, or response curves.
  • Familiarity with A/B testing, causal inference, simulation, sensitivity analysis, or confidence intervals.
  • Experience with Python libraries such as pandas, NumPy, statsmodels, scikit-learn, SciPy, or similar tools.
  • Previous internship, research assistantship, academic project, or independent project involving real-world data is a plus.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010

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