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Library Science Jobs in Rochester, MI (NOW HIRING)

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

Writing and refactoring the code into reusable libraries and API * Support business analytics initiatives across SC departments * Facilitate the internal and external data science & AI network * Be a ...

Deloitte

Data Scientist

Detroit, MI

Stay up to date with the latest trends and technologies in data science and machine learning ... analysis libraries like pandas and NumPy * Limited immigration sponsorship may be available

Apptad Inc

Data Scientist

Auburn Hills, MI

... with ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch Solid foundation in ... Data Science & Analytics Perform EDA to identify trends, patterns, anomalies, and key business ...

New

Rock Connections

Data Scientist

Detroit, MI

Master's degree in mathematics, statistics, computer science or a related field or equivalent experience * Advanced understanding of data visualization libraries * Advanced understanding of ...

Rocket Limited Partnership

Data Scientist

Detroit, MI · On-site

Master's degree in mathematics, statistics, computer science or a related field or equivalent experience * Advanced understanding of data visualization libraries * Advanced understanding of ...

Danaher

Software Automation Internships

Warren, MI

... life sciences space? As an Automation Engineering Intern at Cytiva (a Danaher company), you would help improve our DeltaV automation library used in cutting-edge bioprocessing technologies. This ...

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See Rochester, MI salary details

$7

$14

$26

How much do library science jobs pay per hour?

As of May 31, 2026, the average hourly pay for library science in Rochester, MI is $14.48, according to ZipRecruiter salary data. Most workers in this role earn between $10.87 and $16.15 per hour, depending on experience, location, and employer.

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

To thrive in Library Science, you need a solid grounding in information organization, research, and cataloging, typically supported by a master's degree in library science (MLS or MLIS). Familiarity with integrated library systems (ILS), digital archives, and metadata standards like MARC or Dublin Core is essential. Strong interpersonal skills, customer service orientation, and adaptability help professionals assist diverse patrons and manage changing information needs. These skills are crucial for efficiently organizing resources, facilitating information access, and supporting lifelong learning in a rapidly evolving field.

What are some common challenges faced by professionals in library science, and how can they be addressed?

Library science professionals often encounter challenges such as adapting to rapidly evolving technology, managing diverse patron needs, and navigating budget constraints. Staying current with digital resources and library management systems is essential, as is developing strong communication skills to serve a wide range of users. Proactively engaging in professional development, collaborating with colleagues, and seeking innovative ways to deliver services can help address these challenges while enhancing the value libraries provide to their communities.

What is library science?

Library science is the field that deals with the organization, management, and dissemination of information resources within libraries and similar institutions. Professionals in library science are responsible for cataloging books and media, helping patrons locate information, and preserving collections. They may also work with digital resources, data management, and information literacy. The field combines elements of information technology, archival science, and customer service to support education and research.

What is the difference between Library Science vs Archivist?

AspectLibrary ScienceArchivist
Required CredentialsMaster's degree in Library Science or Information ScienceBachelor's or Master's degree in Archival Studies, History, or Library Science
Work EnvironmentPublic, academic, or special librariesArchives, museums, or historical repositories
Employer & Industry UsageLibraries, educational institutions, government agenciesHistorical societies, museums, government archives
Common Search & ComparisonLibrary Science vs Archivist

Library Science and Archivists both work with information management, but Library Science focuses on organizing and providing access to library resources, while Archivists preserve and manage historical records and documents. Their roles often overlap in information organization, but their environments and specific skills differ.

What are popular job titles related to Library Science jobs in Rochester, MI? For Library Science jobs in Rochester, MI, the most frequently searched job titles are:
What job categories do people searching Library Science jobs in Rochester, MI look for? The top searched job categories for Library Science jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Library Science jobs? Cities near Rochester, MI with the most Library Science job openings:
Library Science jobs near you
Infographic showing various Library Science job openings in Rochester, MI as of May 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Temporary. Highlights an 100% Physical job distribution, with an average salary of $30,128 per year, or $14.5 per hour.
Data & AI SCIENTIST

Data & AI SCIENTIST

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 13 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 123 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

The candidate will be responsible for developing advanced data use cases in Stellantis Global Supply Chain business domain, leveraging 360° ecosystem (Supply Chain, Manufacturing, Engineering, Sales and Marketing, and Purchasing. The candidate will work in a very diverse, international and challenging environment, in close collaboration with business stakeholders and data engineering teams. The candidate will have strong experience in building and implementing models, using/creating algorithms and creating/running simulations. As well as using a variety of data mining/data analysis methods.
Job responsibilities include but not limited to:
  • Merge large, complex data sets that meet business requirements
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Writing and refactoring the code into reusable libraries and API
  • Support business analytics initiatives across SC departments
  • Facilitate the internal and external data science & AI network
  • Be a specialist on specific data science fields (e.g. NLP, Computer Vision, Time Series)

Basic Qualifications:
  • Master in Data Science / Computer Science
  • 5 years of relevant experience (i.e. ICT and/or Supply Chain)
  • Knowledge of at least one of some of the main Big Data frameworks and platforms: Spark, Databricks, Snowflake
  • Strong programming skills in Python and SQL
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, ...)
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, ...) and their real-world advantages/drawbacks
  • Combination of business focus, analytical and problem-solving skills to quickly define a data-driven solution within different initiatives
  • Ability to work within a team and with a proactive attitude

Preferred Qualifications:
  • PhD
  • Experience in a multinational (global) work environment
  • AI: mastery in one AI field such as Natural Language Processing or Computer Vision is appreciated
  • Palantir Foundry platform
  • Microsoft PowerBI / Fabrics tool (incl. DAX programming language)
  • Deep learning frameworks (Pytorch, Tensorflow, ...)
  • Ability to communicate and summarize technical topics for non-technical audience (incl. leadership)

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