Data Scientist

Apply now Job no: 494995
Work type: Staff Full-Time
Location: Denver, CO
Categories: Information Technology, Research

The Office of Institutional Research & Analysis (IR) is the central source for information about the University of Denver. We serve the University's vision, values, mission, and goals by analyzing and reporting institutional data to inform University and unit-level planning and development.

The Office of Institutional Research & Analysis performs systematic, objective research and analysis to inform strategic planning, decision making, and policy development at the University. We employ a holistic understanding of the complex interaction between academic and business systems and processes to deliver timely, accurate information and insight to members of the DU community and promote the strategic use of data resources across campus.

Our mission is to advance access, equity, and success in higher education by working in partnership with stakeholders and University leadership to ensure an institutional culture of assessment, data strategy, and data-informed decision making.

Position Summary

The Data Scientist is a full-time, twelve-month staff position that provides expertise in advanced statistics and quantitative research methods to support institutional research and analysis at the University. The position works with staff within the Institutional Research office, stakeholders across campus, and reports to the Assistant Vice Provost for Institutional Research and Analysis.
The Data Scientist also supports institutional research duties within the office by responding to ad hoc requests for information, developing dashboards and visualizations to communicate institutional data, and training and reviewing the work of research analysts to ensure the integrity of reporting and research functions. This position leverages multiple data sources to develop automated retrieval and cleaning processes.

The Data Scientist employs statistics, programming, technology, and data management techniques to prepare, transform, and analyze institutional data and construct exploratory, explanatory, and predictive statistical models. The position identifies areas in which analytics and visualization have potential to yield insight about University operations and functions; designs and conducts institutional research projects; and interprets research findings and makes recommendations to support planning and development centrally and within academic and administrative units.

Essential Functions

In addition to following the University of Denver's policies and procedures, principal responsibilities include, but are not limited to:

  • Ensures accurate, on-time reporting of institutional data to government agencies, accreditation bodies, ranking organizations, and higher education publications on behalf of the University, and, ensures University compliance with mandatory institutional reporting as required by the Department of Education (IPEDS, Title II, Consumer Disclosures, EADA) and the Colorado Department of Higher Education (SURDS). 
  • Identifies emergent reporting and analytics needs at the University and collaborates with stakeholders to leverage opportunities for growth, development, automation, and standardization by developing reports, dashboards, models, and visualizations. 
  • Designs, conducts, and oversees insightful institutional research to meet the needs of the University's executive leadership, senior staff, and academic and administrative units, resulting in recommendations for evidence-based decisions centrally and across campus. 
  • Leads and supports research and reporting projects in the office, including training research analysts on relevant data, technology, and statistical methods to complete their duties.
  • Applies advanced statistics and quantitative research methods to develop metrics and build exploratory, explanatory, and predictive models that inform strategic and operational planning at the University.
  • Other duties as assigned. 

Knowledge, Skills, and Abilities

  • Relational databases.
  • Scripting language.
  • SQL.
  • Statistical analysis, hypothesis testing, forecasting, predictive analytics, machine learning and probability theory.
  • Data visualization and dashboard development.
  • Automate data retrieval, cleaning and aggregation processes using open source tools.
  • Replicate analytic projects and research findings.
  • Independently explore, validate, merge and leverage information from multiple data sources.
  • Visually convey data-based findings to internal and external audiences.
  • Identify and apply appropriate analytic approaches (e.g., classifiers, estimators, hypothesis testing procedures, unsupervised models, etc.) within a given context.
  • Conduct reproducible research.
  • Work collaboratively on data science projects.
  • Quickly able to learn and apply new technologies and techniques to work efficiently and effectively.
  • Writing complex and extensible data pipelines using SQL and open source technologies to ensure reproducibility of results.
  • Proficient at visualizing data using open source tools such as Python, R or JavaScript.
  • Facility with a command line interface.
  • Web scraping.
  • Effective utilization of version control software.

Required Qualifications

  • Masters degree in computer science, information technology, mathematics, statistics or related quantitative discipline.
  • Four years of professional experience in data science, data management or analytics position.
  • Project management experience.
  • Experience querying relational databases.
  • Experiences automating data processes using open source tools.
  • Experience with modeling, evaluation, and assessment.

Preferred Qualifications

  • Advanced degree - Doctorate in computer science, information technology, mathematics, statistics or related quantitative discipline.
  • Additional years of experience or expertise in a particular field of work
  • Experience in a central institutional research office at a college or university.
  • Five years of professional quantitative research and analytics experience in higher education or related social science field.
  • Experience with the collection, preparation, analysis, and reporting of data in higher education or related social science field.

Work Schedule
Monday - Friday, 8:00 a.m. - 4:30 p.m.

Application Deadline
For best consideration, please submit your application materials by 4:00 p.m. (MST) May 16, 2022. Applications will continue to be reviewed until the position is filled.

Special Instructions
Candidates must apply online through jobs.du.edu to be considered. Only applications submitted online will be accepted.

Salary Grade Number:
The salary grade for the position is 12.

Salary Range:
The salary range for this position is $65,000-$80,000.

The University of Denver has provided a compensation range that represents its good faith estimate of what the University may pay for the position at the time of posting. The University may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on factors such as the qualifications of the selected candidate, departmental budget availability, internal salary equity considerations, and available market information, but not based on a candidate’s sex or any other protected status.

Benefits:
The University of Denver offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO pass. The University of Denver is a private institution that empowers students who want to make a difference. Learn more about the University of Denver.

Please include the following documents with your application:
1. Resume
2. Cover Letter

The University of Denver is an equal opportunity employer. The University of Denver prohibits discrimination on the basis of race, color, national origin, age (40 years and over in the employment context), religion, disability, sexual orientation, gender identity, gender expression, genetic information, marital status, veterans status, and any other class of individuals protected from discrimination under federal, state, or local law, regulation, or ordinance in any of the university's educational programs and activities, and in the employment (including application for employment) and admissions (including application for admission) context, as required by Title IX of the Education Amendments of 1972; Title III of the Americans with Disabilities Act of 1990, as amended in 2008; Section 504 of the Rehabilitation Act of 1973; Title VI and VII of the Civil Rights Act of 1964; the Age Discrimination Act of 1975; the Age Discrimination in Employment Act of 1967; and any other federal, state, and local laws, regulations, or ordinances that prohibit discrimination, harassment, and/or retaliation. For the university's complete Non-Discrimination Statement, please see non‑discrimination‑statement.

All offers of employment are contingent upon satisfactory completion of a criminal history background check.

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