Data Scientist 1

University Of New MexicoAlbuquerque, NM
36dHybrid

About The Position

UNM Center for Teaching and Learning is looking for a talented individual to join our team and serve in the position of Data Scientist I. The person selected for this position will report to the Director for the Office of Institutional Analytics, with a dotted line to the CTL Executive Director. This position also works closely with leaders of Student Learning Assistance and Graduate Support as well as Teaching Support and Digital Learning. They will provide a wide array of data organization, processing, analysis, and reporting for CTL and partner units that rely on CTL data. This position will apply advanced analytical, statistical, and visualization techniques to examine student learning outcomes, instructional practices, and institutional performance indicators. The Data Scientist will operationalize predictive and diagnostic models, design and manage data pipelines, and translate complex analyses into actionable insights that inform policy, pedagogy, and program design. See the Position Description for additional information.

Requirements

  • Bachelor's degree in a relevant field
  • at least 3 years of experience directly related to the duties and responsibilities specified
  • Employees who provide services or work in patient care or clinical areas are required to be in compliance with the University's influenza vaccination requirement.

Nice To Haves

  • Experience creating, cleaning, and analyzing large data sets and sensitive data.
  • Knowledge of FERPA and application to educational data
  • Experience with statistical programs such as Excel, SPSS, R, and/or other software.
  • Experience using R, Python, or similar approaches to cleaning data.
  • Experience conducting statistical analyses and hypothesis testing (e.g., regression, multiple regression, contingency analyses, ANOVA, MANOVA, t-tests, A/B testing, etc.).
  • Experience creating, documenting, and training others on data workflows.
  • Experience designing and maintaining dynamic dashboards and visualizations (e.g., Tableau, Power BI, or similar platforms) that communicate complex information to faculty, staff, and administrators.
  • Analytical skills such as quantitative analysis, root cause analysis, and pattern recognition
  • Experience with data storytelling via reports, presentations, figures and campus partnership communication
  • Knowledge of common data needs and collection in higher education (e.g., predictors of student retention and/or graduation rates, demographic covariates)
  • Experience conducting quantitative and qualitative analyses-such as regression, hypothesis testing, and longitudinal modeling-to evaluate teaching, tutoring, and instructional interventions.
  • Experience developing, testing, and refining statistical and machine learning models to identify key drivers of student learning, retention, and academic success.
  • Supervising and mentoring staff and student employees involved in data collection, coding, and analysis.
  • Promotes data literacy, responsible data use, and equity-focused analytics

Responsibilities

  • data organization
  • data processing
  • data analysis
  • reporting for CTL and partner units that rely on CTL data
  • apply advanced analytical, statistical, and visualization techniques to examine student learning outcomes, instructional practices, and institutional performance indicators
  • operationalize predictive and diagnostic models
  • design and manage data pipelines
  • translate complex analyses into actionable insights that inform policy, pedagogy, and program design

Benefits

  • This is a benefits eligible position. The University of New Mexico provides a comprehensive package of benefits including medical, dental, vision, and life insurance.
  • In addition, UNM offers educational benefits through the tuition remission and dependent education programs.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Industry

Educational Services

Number of Employees

101-250 employees

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