Data Scientist

Grand Forks, North Dakota (US)
Salary dependent on experience
Jun 14, 2019
Job Type
Full Time

Hiring Department:  University Analytics and Planning, The Office of the Provost and Vice President of Academic Affairs

Minimum Hiring Salary/Position Classification: Salary dependent on experience; annual, full-time, benefitted, exempt staff position
Benefits: Includes single or family health care coverage (premiums paid for by the university), basic life insurance, EAP, retirement plan, tuition waiver, annual and sick leave.  Optional benefits available: supplemental life, dental, vision,  flexible spending account, supplemental retirement plans.
Work Schedule:  Monday-Friday, 8:00 am-4:30 pm; some Saturdays for recruitment/retention efforts; and as required to complete duties

For full consideration, all application materials must be fully submitted by 5PM (Central Time) on the closing date.
Qualified internal candidates will receive first consideration.


Position Summary
A complete Position Description is available as an attachment in the bottom right corner of this position announcement.

The Data Scientist primarily supports the University Analytics & Planning Office's core activity of capturing, analyzing and interpreting data on faculty, students, staff and other critical academic, physical and financial information for university decision-making. The candidate will be able to present the salient results of research in a clear, concise and compelling fashion. Reporting directly to the Director of University Analytics & Planning, the Data Scientist will have the interest and skill to take the lead on research initiatives that answer important strategic questions for the University. This work will involve developing clear research objectives and questions, working with executives, faculty and staff across the university to collect and refine data, producing descriptive and inferential analyses, synthesizing findings in written and graphical reports, and presenting results to audiences. This position is vital to the University’s Strategic Plan. The position would have the following primary duties:

  • Using predictive analytics and data mining to develop data models for student enrollment management, student success, financial aid modeling, and related reporting;
  • Preparing user-friendly data visualizations and summaries, including dashboards, narratives, tables and graphs, and disseminating them in the forms of static reports, dynamic web tools, and/or interactive dashboards;
  • Assist with data management, organization, extraction, and maintenance;
  • Assiting the maintaining the University Analytics and Planning web resources.

Required Competencies:

  • Significant problem-solving skills with the ability to identify and analyze problems as well as devise solutions. Problems are highly varied and complex, requiring new concepts and approaches.
  • Strong oral communication skills, with the ability to communicate effectively with a wide range of constituencies in a diverse community. Must be able to listen well to others and be able to clearly explain data usage and reporting.
  • A team player and collaborative in working with colleagues, operational staff, and with key decision makers.
  • Strong organizational, project and time management skills with the ability to prioritize and manage multiple projects and tasks concurrently.
  • A self-starter with minimal supervision and demonstrated ability to work independently or collaboratively as part of a team.
  • Ability to communicate effectively with a strong focus on attention to detail in a highly analytical environment.


Minimum Requirements:

  • Bachelor’s degree in Data Analytics, Social Sciences, Statistics, or 4 year degree from an accredited college/university with significant coursework in research methods and statistical analysis
  • Two or more years of applied research experience.
  • Advanced technical and programming skills with statistical packages (e.g., R, SPSS, SAS); database software (e.g., SQL, Access); query/report building tools; business intelligence tools (e.g., PeopleSoft, Oracle) ; data visualization software (e.g. Tableau, PowerBI, iDashboards); and MS Office software (e.g., Word, Excel, PowerPoint).
  • Experience creating or manipulating large databases.
  • Experience with student and faculty information strongly preferred
  • Successful Completion of Criminal History Background Check

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire. 

Preferred Qualifications:

  • Advanced degree in data/business analytics, data science, computer science, social sciences, statistics, or related field.
  • Three years of applied research experience with analysis and report presentation experience, preferably in higher education.
  • Experience integrating visualization into a web-based platform is strongly preferred.

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All information listed in this position announcement will be used by Human Resources, the Hiring Department, and EEO/AA for screening, interviewing and selection purposes.
Confidentiality of Application Materials
Note: Pursuant to NDCC 44-04-18.27, applications and any records related to the applications that identify an applicant are confidential, except records related to the finalists of the position, which are open to the public after the search committee has identified the top three finalists who will be invited to campus.
EEO Statement
UND is an Equal Opportunity/Affirmative Action employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin.  Women, minorities, veterans and individuals with disabilities are encouraged to apply. Applicants are invited to provide information regarding their gender, race and/or ethnicity, veteran’s status and disability status on the form found at  This information will remain confidential and separate from your application. 
ND Veteran’s Preference
North Dakota Veterans claiming preference must submit all proof of eligibility by the closing date. Proof of eligibility includes a DD-214 and if claiming disabled status, a current letter of disability from the VA dated within the last 12 months.
Clery Statement
In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, the University of North Dakota publishes an Annual Security and Fire Safety Report.  The report includes the university’s policies, procedures, and programs concerning safety and security, as well as three years’ of crime statistics for our campus.  As a prospective employee, you are entitled to a copy of this report.  The report and statistical data can be found online at  You may also request a paper copy of the report from the UND Police Department located at 3851 Campus Road, Grand Forks, ND 58202.

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