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Library Scientist Jobs in Riverside, CA (NOW HIRING)

Boot Barn

Data Scientist

Irvine, CA

DATA SCIENTIST REPORTS TO: DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where ... Develop high-quality, modular Python code for model training and experimentation using libraries ...

omega solutions, Inc.

Sr. Data Scientist

Santa Ana, CA · On-site

Sr. Data Scientist Santa Ana, CA 6 months : What is the specific title of the position? Senior Data ... SQL, Python, Spark, Hive Libraries: Scikit-Learn, Numpy Analytics: Regression, Classification ...

Boot Barn

Data Scientist

Irvine, CA · On-site

$100K - $130K/yr

DATA SCIENTIST REPORTS TO: DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where ... Develop high-quality, modular Python code for model training and experimentation using libraries ...

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All JobsLibrary Scientist JobsLibrary Scientist Jobs in Riverside, CA

Library Scientist information

See Riverside, CA salary details

$52.7K

$116.2K

$143.4K

How much do library scientist jobs pay per year?

As of May 29, 2026, the average yearly pay for library scientist in Riverside, CA is $116,161.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $142,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Library Scientist, you need a solid grounding in information science, research methodologies, and data organization, usually supported by a master's degree in library and information science (MLIS). Familiarity with cataloging systems (like MARC), digital archives, and library management software is typically required. Strong analytical thinking, attention to detail, and excellent communication skills help set outstanding professionals apart in this field. These skills ensure efficient information management, user support, and the advancement of library services in an evolving digital environment.

What are some typical challenges faced by Library Scientists in managing digital collections?

Library Scientists often encounter challenges in managing digital collections, such as ensuring proper metadata standards, integrating new technologies, and safeguarding digital assets against data loss or obsolescence. They must balance accessibility for users with copyright and licensing restrictions, and regularly evaluate digital preservation strategies. Collaboration with IT professionals and ongoing training are essential for staying current with evolving best practices in digital library science.

What are library scientists?

Library scientists, also known as library and information scientists, are professionals who manage, organize, and facilitate access to information resources in libraries and related institutions. They use their expertise in information science, technology, and research to classify, preserve, and retrieve data for users. Library scientists also develop systems for cataloging, digital archiving, and improving information accessibility. Their work supports education, research, and the dissemination of knowledge in various settings, including public, academic, and special libraries.

What is the difference between Library Scientist vs Librarian?

AspectLibrary ScientistLibrarian
Required CredentialsMaster's degree in Library Science or related field, often with research experienceMaster's degree in Library Science (MLS) or equivalent
Work EnvironmentResearch institutions, academic settings, specialized librariesPublic, school, academic, or special libraries
Employer & Industry UsageResearch organizations, universities, government agenciesPublic libraries, schools, universities, corporate libraries
Common Search & ComparisonResearch roles, data analysis, library science researchLibrary management, user services, collection development

While both Library Scientists and Librarians hold master's degrees in Library Science, Library Scientists focus more on research, data analysis, and developing new library systems, often working in academic or research settings. Librarians typically manage library operations, assist users, and curate collections in public or educational libraries. The roles overlap in credentials but differ in focus and work environment.

What are popular job titles related to Library Scientist jobs in Riverside, CA? For Library Scientist jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Library Scientist jobs in Riverside, CA look for? The top searched job categories for Library Scientist jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Library Scientist jobs? Cities near Riverside, CA with the most Library Scientist job openings:
Library Scientist jobs near you
Infographic showing various Library Scientist job openings in Riverside, CA as of May 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $116,161 per year, or $55.8 per hour.

Data Scientist - Business Analytics & ML

Kia America, Inc.

Irvine, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

At Kia, we’re creating award-winning products and redefining what value means in the automotive industry. It takes a special group of individuals to do what we do, and we do it together. Our culture is fast-paced, collaborative, and innovative. Our people thrive on thinking differently and challenging the status quo. We are creating something special here, a culture of learning and opportunity, where you can help Kia achieve big things and most importantly, feel passionate and connected to your work every day.

Kia provides team members with competitive benefits including premium paid medical, dental and vision coverage for you and your dependents, 401(k) plan matching of 100% up to 6% of the salary deferral, and paid time off. Kia also offers company lease and purchase programs, company-wide holiday shutdown, paid volunteer hours, and premium lifestyle amenities at our corporate campus in Irvine, California.
Status

Exempt 

General Summary

The Data Scientist plays an important role in executing data analysis for Kia North America’s regional subsidiaries (KUS/KCA/KaGA/KMX). Kia’s Big Data Analysis team leverages vast and diverse datasets to drive business improvements and insights. The role requires expertise in statistics, machine learning, and computer science to utilize high-performance compute clusters and perform reproducible analyses at scale. This position supports the application of data, analytics, automation, and responsible AI to advance Kia’s business operations.


This role focuses on using data and machine learning to answer complex business questions, build analytical and predictive models, and translate results into clear insights and recommendations for stakeholders. The role goes beyond reporting by framing problems, designing analyses, and influencing decisions.

Essential Duties and Responsibilities

1st Priority - 30%

Business Problem Framing, Data Wrangling & Analysis  

  • Assess the accuracy of new data sources
  • Understand business processes and decision frameworks, and translate them into data-driven metrics and KPIs. 
  • Preprocess structured and unstructured data
  • Analyze large amounts of data to discover trends and patterns
  • Build prediction and classification models
  • Coordinate with different functional teams for feature engineering
  • Partner with business stakeholders to frame problems, define success metrics, and translate business questions into analytical approaches

2nd Priority - 30%

Insight Generation, Visualization & Model Improvement

  • Test and continuously improve the accuracy of statistical and machine learning models
  • Present insights in a way that clearly ties analysis to business decisions and actions 
  • Frame and communicate complex analyses in business-relevant terms that non-technical stakeholders can understand and act on
  • Continuously monitor and validate production analysis results

3rd Priority - 20%

Collaborate with IT Team to deploy analysis results

  • Build REST APIs for data and analysis result consumption
  • Assist the IT system developers to deploy analysis as a service

4th Priority - 20%

Clear documentation, source code management, and reproducible analysis

  • Use git within GitLab
  • Create virtual environments to isolate project dependencies and requirements
  • Track model performance and hyperparameter configurations
  • Track data versioning

This list of essential responsibilities and duties is not exhaustive and may be supplemented and changed as necessary by management.
 

Qualifications/Education

Education:

  • Bachelor’s degree in a quantitative field required (e.g., Data Science, Statistics, Computer Science, Engineering, Economics, Mathematics, Business Analytics, or related field)
  • Master’s degree in a quantitative field preferred
     
Job Requirement
  • 3+ years of experience in data science preferred.
  • Strong data analysis and statistical foundations required.
  • Proficiency in Python and SQL required.
  • Familiarity with applied machine learning concepts required.
  • Strong business acumen and ability to coordinate between technical teams and non-technical business stakeholders.
  • Experience querying databases and using programming languages such as Python and SQL
  • Experience using statistics and machine learning algorithms
  • Experience with big data processing frameworks such as Spark (e.g., PySpark); experience with Hadoop ecosystem or cloud platforms (e.g., Databricks, AWS) preferred
  • Experience publishing results to stakeholders through dashboards (e.g. Power BI, MicroStrategy, Tableau)
Specialized Skills and Knowledge Required
  • Proficiency in Python and SQL
  • Knowledge of a variety of machine learning techniques, deep learning a plus
  • Knowledge of advanced statistical techniques
  • Experience with common Python libraries for data analysis such as Pandas and NumPy
  • Experience with visualization libraries such as Matplotlib, Seaborn, Plotly, Bokeh and plotnine
  • Experience developing and evaluating statistical and machine learning models using libraries such as statsmodels and scikit-learn
  • Experience with big data processing tools such as Spark (e.g., PySpark); experience with Hadoop ecosystem or cloud platforms preferred
  • Experience with deep learning frameworks such as PyTorch and TensorFlow preferred
  • Strong data-driven problem-solving skills
  • Excellent written and verbal communication skills to coordinate across teams

Competencies

  • Care for People
  • Chase Excellence Every Day
  • Dare to Push Boundaries
  • Empower People to Act
  • Move Further Together

Pay Range

$107,060 - 131,857.00

Pay will be based on several variables that are unique to each candidate, including but not limited to, job-related skills, experience, relevant education or training, etc.

Equal Employment Opportunities

KUS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, ancestry, national origin, sex, including pregnancy and childbirth and related medical conditions, gender, gender identity, gender expression, age, legally protected physical disability or mental disability, legally protected medical condition, marital status, sexual orientation, family care or medical leave status, protected veteran or military status, genetic information or any other characteristic protected by applicable law.  KUS complies with applicable law governing non-discrimination in employment in every location in which KUS has offices.  The KUS EEO policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination and all other privileges, terms and conditions of employment.

Disclaimer:  The above information on this job description has been designed to indicate the general nature and level of work performed by employees within this classification and for this position.  It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

About Kia America

Sourced by ZipRecruiter

Industry

Motor vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Irvine, CA, US

Year founded

1994

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