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Remote Library Jobs in Plymouth, MI (NOW HIRING)

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

... libraries). * Experience integrating and standardizing heterogeneous enterprise datasets ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

fng

Software Developer

Warren, MI · On-site +1

This is a remote position. Responsibilities * Design, develop, test, and deploy full-stack features ... Experience with Chart.js or other charting and data-visualization libraries. * Experience with ...

fng

Software Developer

Warren, MI · On-site +1

This is a remote position. Responsibilities * Design, develop, test, and deploy full-stack features ... Experience with Chart.js or other charting and data-visualization libraries. * Experience with ...

Fidus Systems

Hardware Designer

Detroit, MI · On-site +1

Perform parts library creation and schematic capture, including embedded layout constraints, using ... Fully remote role and requires around 15% travel, including domestic and international. Benefits ...

IPS Technology Services

Project Manager

Detroit, MI · On-site +1

REMOTE (has to relocate to SE MI) Long Term Contract TOP SKILLS : Agile Healthcare Project ... , IT, Information Science, Library Science, or related healthcare administration field ...

THOMSON REUTERS

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy ...

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Showing results 21-40

All JobsLibrary JobsRemote Library JobsRemote Library Jobs in Plymouth, MI

Remote Library information

See Plymouth, MI salary details

$27.1K

$69.5K

$118K

How much do remote library jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote library in Plymouth, MI is $69,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $81,400.00 per year, depending on experience, location, and employer.

What is a remote library?

A Remote Library job involves providing library services and support in a virtual or online environment. Responsibilities may include cataloging digital resources, assisting patrons with research, managing databases, and facilitating virtual programs. These roles are typically performed from home or another remote location using digital tools and communication platforms. Remote librarians and library staff help users access information efficiently without needing to visit a physical library.

What does a typical day look like for a remote librarian?

A typical day for a Remote Librarian involves assisting patrons with research requests via email or chat, managing digital collections, updating online catalogs, and collaborating with academic staff or library teams through video meetings. You may also provide virtual instruction on information literacy or database usage, troubleshoot access issues, and curate digital resources relevant to users' needs. While the work is primarily independent, regular communication with colleagues and library users is common. The role offers flexibility but requires proactive time management and comfort with digital communication platforms.

What are the key skills and qualifications needed to thrive in the remote library position, and why are they important?

To excel as a Remote Librarian, you need a solid background in library science, information management, and research methods, often supported by a master's degree in library or information science. Familiarity with digital cataloging systems, online databases, and remote collaboration tools is typically required. Strong communication, self-motivation, and organizational skills help professionals effectively support users and manage resources virtually. These competencies are essential for providing high-quality library services and maintaining efficient access to information in a digital, remote environment.

What are the most commonly searched types of Library jobs in Plymouth, MI?

The most popular types of Library jobs in Plymouth, MI are:

What job categories do people searching Remote Library jobs in Plymouth, MI look for?

The top searched job categories for Remote Library jobs in Plymouth, MI are:

What cities near Plymouth, MI are hiring for Remote Library jobs?

Cities near Plymouth, MI with the most Remote Library job openings:

Remote Library jobs near you
Infographic showing various Remote Library job openings in Plymouth, MI as of August 2026, with employment types broken down into 83% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $69,475 per year, or $33.4 per hour.

Data Scientist

Ford Motor Company

Dearborn, MI • Remote

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 25 days ago

Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers

Job description

The Senior Data Scientist will design and implement advanced systems that support cross-domain manufacturing analytics. This role operates at the intersection of optimization, enterprise data integration, and applied analytics to enable data-driven decision-making across complex business workflows.

Key responsibilities include:

  • Developing and maintaining Python-based optimization models to support demand elasticity, production planning, and constraint-based decision frameworks.

  • Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using BigQuery, GCS, and Python.

  • Performing data reconciliation, fuzzy matching, and standardization across inconsistent source systems to ensure data quality and analytical integrity.

  • Designing and deploying lightweight internal applications (e.g., Dash-based tools) and contributing to containerized deployments to enable business-facing access to decision models.

  • Collaborating with cross-functional stakeholders to translate business questions into optimization and analytical frameworks.

In addition, this role will contribute to the development of semantically aligned data structures by supporting feature definition consistency, cross-system mapping, and ontology-informed modeling approaches. The candidate will help ensure that analytical outputs are built on clearly defined entities, relationships, and assumptions to enable scalable reasoning and reuse across domains.

The ideal candidate combines strong technical modeling capability with practical enterprise data engineering experience and the ability to operate effectively in ambiguous, cross-functional environments.

  • Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research, or equivalent field.

  • 3+ years of experience developing analytical or optimization models in Python.

  • Experience building and maintaining data pipelines using SQL and cloud-based data platforms (e.g., BigQuery, GCS).

  • Strong proficiency in Python for data analysis and modeling (e.g., pandas, NumPy, Pyomo or similar optimization libraries).

  • Experience integrating and standardizing heterogeneous enterprise datasets.

  • Familiarity with containerization concepts (e.g., Docker) and deploying lightweight applications or services in a cloud environment.

  • Ability to translate business problems into structured analytical frameworks.

  • Strong written and verbal communication skills with experience working cross-functionally.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.
 
For a detailed look at our benefits, click here: Benefit Summary
 
 
This role is remote but if you live within 50 miles within Dearborn, MI, you will be required on-site 4x a week.
 
*Visa Sponsorship IS provided for this specific role*
*Relocation assistance IS provided for this specific role*
 
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
 
#LI-Remote
#LI-DS2 
 
SG7-8

  • Design, develop, and maintain Python-based optimization models to support demand elasticity, production planning, and constraint-based decision systems.

  • Translate complex business problems into structured analytical and optimization frameworks.

  • Build and maintain data pipelines using BigQuery, GCS, and Python to integrate heterogeneous enterprise data sources.

  • Perform data reconciliation, fuzzy matching, and standardization across inconsistent datasets to ensure analytical integrity.

  • Develop lightweight internal applications (e.g., Dash or streamlit) to operationalize analytical outputs for business users.

  • Contribute to containerized deployments to support scalable and maintainable delivery of decision tools.

  • Partner with cross-functional stakeholders to define requirements and validate outputs.

  • Support semantic alignment across systems by contributing to feature definition consistency, cross-system mapping, and ontology-informed data structures.

  • Document modeling assumptions, data transformations, and system dependencies to enable reproducibility and reuse.

  • Continuously improve model performance, data quality, and deployment efficiency across decision systems.

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