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Phd Library Science Jobs in Arizona (NOW HIRING)

Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and ... PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science ...

Builds and maintains a robust library of reusable, production-quality algorithms and supporting ... PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science ...

... libraries, ensuring seamless performance across various form factors. - Leverage data engineering ... Minimum Qualifications - Bachelor's degree in Computer Science, Information Technology, or a ...

Pursuing a BS in the field of Computer Science , Electrical Engineering , Math or Computer ... Programming languages such as Python and C++, and experience with AI frameworks and libraries like ...

... Life Sciences, and Federal and Aerospace, along with AI Libraries, and AI Tools. The product ... 5+ years with a Phd. * 2+ years' experience in Product Strategy, Planning, and /or Product ...

The organization develops logic libraries, memories, high-speed I/Os, analog and mixed signal IPs ... Science with 4+ years of industry experience or PhD. with 2+ years of experience. 3+ years of ...

CPU RTL Design Engineer

Phoenix, AZ · On-site

$141K - $269K/yr

Bachelor's degree in electrical engineering, computer engineering, or computer science with 7+ ... OR PhD with 2+ years of experience. * 7+ years experience in RTL design using Verilog, V2K, or ...

Phd Library Science information

See Arizona salary details

$7

$14

$27

How much do phd library science jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for phd library science in Arizona is $14.66, according to ZipRecruiter salary data. Most workers in this role earn between $10.96 and $16.35 per hour, depending on experience, location, and employer.
What cities in Arizona are hiring for Phd Library Science jobs? Cities in Arizona with the most Phd Library Science job openings:
Infographic showing various Phd Library Science job openings in Arizona as of June 2026, with employment types broken down into 31% Full Time, 66% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $30,502 per year, or $14.7 per hour.

Principal AI Data Scientist

MSR Technology Group

Phoenix, AZ • Remote

Full-time

Posted 20 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.