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Flex Remote Library & Information Science Jobs in Phoenix, AZ

Norstella

Senior Data Scientist

Phoenix, AZ · Remote

Excellent knowledge of Python and core data science and AI libraries including Pandas, NumPy ... information, reproductive health decision making, or any other protected characteristic as ...

CPJ Recruitment

IT Analyst

Phoenix, AZ · Remote

$42.50 - $57.50/hr

This is a remote role strictly for candidates within the United States. We are seeking a skilled ... Bachelors degree in Information Technology, Computer Science, or a related field. * Proven ...

Relativity

Principal Applied Scientist

Phoenix, AZ · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ...

Relativity

Principal Applied Scientist

Phoenix, AZ · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ...

BCForward

PCB Layout Engineer

Phoenix, AZ · Remote

$55 - $65/hr

Remote (Onsite work is a possibility, with a strong preference for Sunnyvale, California) Duration ... Lead designs from kick-off through tape-out, encompassing rigid, rigid-flex, and flex PCBs for both ...

USAA

Mid-Level Decision Science Analyst

Phoenix, AZ · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... and other relevant information to draw conclusions and make recommendations resulting in ...

New

Renalogic

Clinical Nurse Coach (RN) (Remote)

Phoenix, AZ · Remote

$78K - $82K/yr

To best serve our members, you'll need to work PST hours and flex your schedule when their ... Obtain and utilize clinical information to develop an individualized member care plan and clinician ...

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How much do flex remote library & information science jobs pay per hour?

As of May 28, 2026, the average hourly pay for flex remote library & information science in Phoenix, AZ is $15.62, according to ZipRecruiter salary data. Most workers in this role earn between $11.68 and $17.40 per hour, depending on experience, location, and employer.

What is the difference between Flex Remote Library & Information Science vs Flex Remote Archivist?

AspectFlex Remote Library & Information ScienceFlex Remote Archivist
Required CredentialsMLS or MLIS degree, certification often preferredMLS or MLIS degree, archival certifications beneficial
Work EnvironmentLibraries, information centers, digital repositoriesArchives, museums, historical collections
Employer & IndustryEducational institutions, public & private librariesHistorical societies, museums, government agencies
Common Search & ComparisonOften compared for roles in information management and digital resourcesCompared for roles involving preservation and historical records

Flex Remote Library & Information Science professionals focus on managing library collections, digital resources, and information services, often within educational or public institutions. Flex Remote Archivists specialize in preserving historical records and archival materials. While both roles require similar credentials, their work environments and focus areas differ, making them distinct career paths within the information management industry.

What are the most commonly searched types of Remote Library & Information Science jobs in Phoenix, AZ? The most popular types of Remote Library & Information Science jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Flex Remote Library & Information Science jobs? Cities near Phoenix, AZ with the most Flex Remote Library & Information Science job openings:
Flex Remote Library Information Science jobs near you

Principal AI Data Scientist

MSR Technology Group

Phoenix, AZ • Remote

Full-time

Posted 13 days ago

Job description


Infomatics is partnered with a large retailer that is hiring a Principal AI Data Scientist on a direct hire/FTE basis near Phoenix, AZ. Can work remote. All applicants must be eligible & willing to be hired on W2.

You will lead various AI efforts involving computer vision, deep learning, and nlp in addition to other machine learning model builds. You will not only work on large scale projects to provide value to the customers but are also routinely involved in building our internal R&D capability to have an edge in the analytics industry. You will lead some of the most strategic and very complex problems.
Duties/Responsibilities:
  • Builds and validates machine learning models of high risk/reward problems utilizing large scale data from multiple data sources and methodologies.
  • Uses machine learning techniques to create data-driven solutions for various business use-cases.
  • Writes programs utilizing existing libraries and methodologies.
  • Interprets, communicates, and presents analytic results to C-Level executives and below.
  • Consistently collaborates with fellow data scientists, data engineers, business partners, project managers, cross-functional teams, key stakeholders, and other domains to drive business value.
  • Leads AI best practice sharing opportunities and knowledge of industry trends and innovations in data science.
  • Leads projects with external partners and vendors to develop solutions to meet business needs while resolving any issues that may arise.
  • Contributes to the organization's data strategy and roadmap.
  • Embeds and drives the organization with the most up-to-date AI methodology.
Qualifications:
  • Master's or PhD degree in a quantitative field with 5+ years of data science experience.
  • Applied expertise in artificial intelligence with experience applying natural language processing, computer vision (image processing), and deep leaning. Need to have the capability to leverage current mature mainstream AI application tools and methodology
  • Proficiency in machine learning with familiarity and actual applications of scikit-learn library machine learning techniques such as decision tree, gradient boosting, XGBoost, etc. for regression, classification, or segmentation problems.
  • Programming expertise in Python with familiarity with cloud environments (AWS, Databricks, etc.)
  • Ability to work with large data sets from multiple data sources
  • Ability to communicate complex analytics concepts and techniques to C-Level executives and below
  • Ability to work collaboratively with other data scientists, data engineers, multiple stakeholders across the business, and with external partners
  • Intellectual curiosity, a passion for data, and a results orientation.