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This job was posted by https://idahoworks.gov : For more information, please see: https://idahoworks.gov/jobs/2323523

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rResearch Administration Data Scientist

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rPosting Number: SP004702P

rDivision/College: University Research

rDepartment: University Research

rLocation: Moscow

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rPosting Context Statement:

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This posting will hire two applicants to meet the needs of this project.

rrPosition Overview:

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The University of Idaho is seeking two Data Scientists to participate in an innovative National Science Foundation-funded project: \"Crossing the Innovation Valley of Death: Democratizing Data and Artificial Intelligence for Research Administration.\" The project offers the opportunity to pioneer the development of open-source AI solutions that will reshape how universities manage operations, while leading the democratization of data access and analysis across the research administration landscape. The goal is to drive institutional change by bridging the gap between cutting-edge technology and administrative efficiency. The candidates will help architect and implement AI-powered solutions to streamline workflows, design data integration strategies across multiple university systems and departments, and create scalable, open-source tools that can be adopted by research administration units nationwide. One position will have a focus on technical development and implementation, while the other will combine technical expertise with training and knowledge dissemination responsibilities.

rrRequired Experience:

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• Two years in a data scientist or data engineering type position
• Programming in one or more computer languages commonly used in data science (e.g., Python, R, Julia, MATLAB)
• Designing and using relational databases, including demonstrated experience with writing SQL queries
• Collecting, organizing, and managing large data sets
• Using APIs and web scraping tools to develop and connect large interoperable databases
• Implementing best practices for rigorous data security
• Working both independently and within a team managing multiple projects with competing deadlines

rrRequired Education:

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• Bachelors Degree

rrRequired Other:

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• None

rrAdditional Preferred:

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• A Masters or PhD in data science, data engineering, data analytics, computer science, business analytics, management information systems (MIS), statistics, mathematics, software engineering, informatics or related field
• Experience in a Research Administration setting, preferably at an Institution of Higher Education
• Developing and presenting data visualizations in static and interactive formats to communicate analyses, methods, and results
• Experience providing training and giving presentations to groups of people
• Experience with retrieval augmented generation using large language models
• Proven ability to effectively communicate with peers and coworkers on complex research and technology issues in both group and individual settings
• Understanding of and experience with institutional research data
• Experience with the following technologies:
  • Web Development with HTML, CSS, Javascript as well as PHP or Python
  • Understanding of common metadata standards and practices
  • Web service Application Programming Interfaces (APIs)
  • JSON, XML, XSLT, and related tools
  • Linux operating systems
  • Software configuration and versioning tools such as: Git/GitHub, Subversion, etc
  • AI integration using Langchain or other pipelines
• Experience with the use, training, and fine-tuning of artificial intelligence and large language models
• K nowledge and understanding of computer security and compliance frameworks such as CMMC and NIST
• Experience writing IT programming specifications
• Experience in handling confidential information
• Experience with using high performance computing environments
• Excellent written and verbal communication and interpersonal skills as demonstrated in application materials
• Self-motivated, team-oriented attitude as demonstrated in application materials

rrPhysical Requirements & Working Conditions:

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• None

rrDegree Requirement:

rListed degree qualification is required at time of application

rrFLSA Status: Exempt

rEmployee Category: Exempt

rPay Range: \$85,000 annually, or higher depending on experience.

rType of Appointment: _of_Appointment

rFTE:

1.0

rFull Time/Part Time: Full Time

rFunding: This position is contingent upon the continuation of work and/or funding.

rA visa sponsorship is available for the position listed in this vacancy: Unce