DiversityInAcademe | Sr. Decision Scientist at University of New Hampshire in Plymouth, New Hampshire, United States

Sr. Decision Scientist

Apply Now

University of New Hampshire

Location: Plymouth, New Hampshire
Category: Admin-Other Administrative Positions
Application Deadline:

Job Description

Operating Title

Sr. Decision Scientist

Long Classification Title

Information Technologist V

Campus Location

Plymouth

Department

UNH Institutional Research/Assess

Summary of Position

Plymouth State University is seeking a Sr. Decision Scientist to leverage data science to drive strategic initiatives, improve operational efficiency, and help achieve the institution’s goals and mission. Dual reporting to the UNH Director of Institutional Research and Assessment and the PSU President, the senior decision scientist will collaborate closely with the president’s office, institutional research, admissions, marketing, student financial services and the office of the registrar. Using internal and external data sources, the role will use predictive modeling, machine learning, AI, and other analytic techniques to inform strategic decisions and identify opportunities for efficiency and growth. This position offers the opportunity to lead innovative projects that will address the multiple challenges facing higher education today and will enable university leaders to assess which directions will have the greatest impact on achieving the university’s strategic goals and mission.

On campus work is preferred, but a hybrid or mostly remote work arrangement will be considered.

PLEASE NOTE: This position is not eligible for visa sponsorship.

Acceptable minimum level of education

Master's

Acceptable minimum years of experience

2 years

Posting Number

PS4803FY25

Other minimum qualifications

Master’s degree from an accredited institution in data analytics, statistics, economics, data science, or relevant quantitative or empirical research field.
Two or more years of relevant experience.
Ability to grow in the position to take leadership in advancing data analytics and AI tools in application across campus from Enrollment to Finance to Strategy and application of data analysis and statistical modeling,
Proficiency in utilizing data analytic tools for prediction, modeling, and assessment.
Experience using data visualization tools.
Understanding of database systems and data manipulation techniques.
Strong written and verbal communication skills, with the ability to convey complex analytical concepts to non-technical stakeholders.
Ability to work collaboratively and effectively with academic and business leaders.
Strong problem-solving skills and a proactive approach to identifying opportunities for improvement.
Strong attention to detail, thoroughness, and follow through.
Ability to work independently and meet deadlines.
Ability to prioritize and manage multiple tasks

Additional Preferred Qualifications

Ph.D. in a business analytics, statistics, economics, data science, or relevant quantitative or empirical research field.
Experience conducting predictive data analysis and modeling in a strategic setting.

Salary Information

Salary is complemented by a comprehensive benefits package which includes medical, dental, retirement, tuition, and paid time off.

Quicklink for Posting

https://jobs.usnh.edu/postings/62570

Percent Time Information (FTE)

1.00

Grade

28

EEO Statement

The University System of New Hampshire is an Equal Opportunity/Equal Access/Affirmative Action employer. The University System is committed to creating an environment that values and supports diversity and inclusiveness across our campus communities and encourages applications from qualified individuals who will help us achieve this mission. The University System prohibits discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, genetic information, veteran status, or marital status.

Institution Information

The University of New Hampshire is an R1 Carnegie classification research institution providing comprehensive, high-quality undergraduate and graduate programs of distinction. UNH is located in Durham on a 188-acre campus, 60 miles north of Boston and 8 miles from the Atlantic coast and is convenient to New Hampshire’s lakes and mountains. There is a student enrollment of 13,000 students, with a full-time faculty of over 600, offering 90 undergraduate and more than 70 graduate programs. The University actively promotes a dynamic learning environment in which qualified individuals of differing perspectives, life experiences, and cultural backgrounds pursue academic goals with mutual respect and shared inquiry.

The UNH Diversity Resource Guide with information and programming available in the seacoast area, New Hampshire, and the region can be found here: https://www.unh.edu/hr/diversity-resource-guide

Posting Date

08/14/2024

Open Until Filled

Yes

Posting Open to Internal Candidates Only?

No

Interested Internal Candidates Exist?

No

Job Category

Salaried Staff (Exempt)

Appointment Type

Regular

Drivers License and Physical Requirements. Please check all items that apply.

None applicable

Duty/Responsibility

Collaborate with university leaders to conceive and design analytic projects to answer strategic questions and help in the development of strategic plans and goals

Duty/Responsibility

Select appropriate methods and tools for conducting each project.
Use various data analytics tools to clean, manipulate, and transform data for analysis.
Use predictive and prescriptive analytical techniques to carry out analytic projects that enable university leaders to make informed decisions.
Apply demonstrated knowledge of data modeling, business analysis, and statistical analysis to evaluate drivers of growth and efficiency and assessment (feedback).

Duty/Responsibility

Communicate results of analytic projects through written and oral presentations, using data visualization techniques to present findings in a manner that can be easily understood by nontechnical audiences.

*Please mention you saw this ad on DiversityInAcademe.*

Apply Now