The Institutional Research Data Scientist is responsible for serving the university community by designing data models for descriptive and predictive insights to support data-informed decision-making thereby enhancing institutional effectiveness.
1. Serves as primary developer of data sources to provide strategic Business Intelligence (BI) support for colleges, departments, and administrators.
2. Analyzes and interprets data using various statistical techniques (regression, clustering, machine learning) to create predictive models and deliver high level insights from complex data sets.
3. Develops and deploys models to improve outcomes, efficiencies and operations related to planning and strategic initiatives.
4. Collaborates with Associate Director to create dashboards and visualizations to communicate findings and support data-informed decision making.
5. Works closely with campus partners to understand data needs and tailor analytic solutions.
6. Develops processes and programming to clean and organize data to be more readily used including collection of data from internal and external sources.
7. Creates new features from existing data, when appropriate, and prepares data for analysis.
8. Explores data to identify potential relationships and patterns.
9. Models and maintains operational data sets needed by campus partners by leveraging official sources and supplemental data.
10. Supports federal and state mandated reporting, associations reporting, and rankings reporting.
11. Responds to ad hoc requests for information and assists with IR publications.
12. Maintains professional and technical knowledge by attending education workshops; reviewing professional publications; establishing personal networks.
13. Performs other related duties as assigned.
• Master’s degree in data science, statistics or related field
• 4 years’ experience in data analytics, including data and statistical modeling
OR
• Bachelor’s degree in data science, statistics or related field
• 6 years’ experience in data analytics, including data and statistical modeling
• PhD in technical field with research related to analytics
• Higher education or institutional research experience
• None
• Tableau Desktop
• Tableau Prep
• Skill with analytics tools such as Python, R, SQL and Tableau.
• Knowledge of data collection and analysis techniques.
• Knowledge of data cleaning processes, predictive modeling and machine learning techniques.
• Knowledge of student information systems (PeopleSoft preferred).
• Ability to derive insight from large amounts of data and disparate sources.
• Ability to communicate well verbally and in writing, presenting complex data insights to non-technical stakeholders.
• Skill in MS Office suite.
• Ability to prioritize, organize, and work independently, or part of a team, to achieve objectives in a timely manner.
University Core Competencies definitions may be found on the Human Resources website and in the staff performance management system.
• Visual acuity to read information from computer screens, forms and other printed materials and information.
• Able to speak (enunciate) clearly in conversation and general communication.
• Hearing ability for verbal communication/conversation/responses via telephone, telephone systems, and face-to-face interactions.
• Manual dexterity for typing, writing, standing and reaching, flexibility, body movement for bending, crouching, walking, kneeling and prolonged sitting.
• Lifting and moving objects and equipment up to 10 lbs.
• Work is indoors and sedentary and is subject to schedule changes and/or variable work hours.
• This role is an on campus, in-person position.
• There are no harmful environmental conditions present for this job.
• The noise level in this work environment is usually moderate.
As an AA/EEO employer, TCU recruits, hires, and promotes qualified persons in all job classifications without regard to age, race, color, religion, sex, sexual orientation, gender, gender identity, gender expression, national origin, ethnic origin, disability, genetic information, covered veteran status, or any other basis protected by law.
Texas Christian University is committed to assisting all members of the campus community in providing for their own safety and security. TCU’s Annual Security Report and Fire Safety Report is published in compliance with the Jeanne Clery Disclosure of Campus Security Policy & Campus Crime Statistics Act (Clery Act) and the Higher Education Opportunity Act. This report includes statistics for the previous three calendar years concerning reported crimes that occurred on campus, in certain off-campus buildings owned or controlled by the University, and on public property within, or immediately adjacent to and accessible from the campus. The statements of policy contained within this report address institutional policies, procedures, and programs concerning campus security, alcohol and drug use, crime prevention, the reporting of crimes, emergency notifications and timely warning of crimes, sexual and interpersonal violence, and personal safety at TCU. Additionally, this report outlines fire safety systems, policies and procedures for on-campus housing facilities, as well as residence hall fire statistics.
The Annual Security Report and Fire Safety Report can be found on the TCU Police Department website at https://police.tcu.edu/annual-security-report, or a paper copy of the report may be obtained by contacting the TCU Police Department at 817-257-7930, or via email at police@tcu.edu.
Thank you!
We've sent an email!
Thank you
Thank you for your interest in a career at TCU!
TCU uses "cookies" (i.e., a small text file that is sent to your browser from the Site) to improve your return access and visits to the Site. TCU may use cookies to customize content, to analyze Site activity and user behavior, including, without limitation, through Google Analytics Demographics and Interest Reporting, and for advertising and promotional purposes (further discussed in "Interest-based Advertising" below). TCU reserves the right to use cookies in the future in conjunction with new or extended functionalities.