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Institutional Research - Senior Data Scientist, Statistician

Requisition Number:



Boulder, Colorado

Employment Type:

University Staff



Posting Close Date:


Date published:


Job Summary

The Office of Data Analytics at the University of Colorado, Boulder is accepting applications for a Senior Data Scientist, Statistician. This position is responsible for data analytics and data reporting initiatives across the entire university. Work includes the development of reports and dashboards, design and implementation of an analytics data warehouse and data mining exercises for predictive modeling. Statistical analysis and data mining techniques will be used to analyze a range of issues within a higher education institution including admissions, student success, course enrollment patterns, and other matters facing higher education institutions.

Who We Are

The Office of Data Analytics (ODA) houses the Institutional Research, Reporting & Analytics, and Faculty Information System groups, which specialize in data collection, analysis and visualization. Some offerings to campus include department- and campus-level surveys, faculty course questionnaires and additional consulting projects that address data analysis and exploration needs for an individual classroom to larger campus initiatives. ODA also led efforts to create and currently manages the university’s Data Lake, which brings many data sources across campus into one location for deeper, meaningful analysis. The ODA mission is to foster an understanding of institutional knowledge. This is done by transforming data into actionable intelligence; aiding the decision making processes throughout the university.

What Your Key Responsibilities Will Be

  • Utilize varied data sources to develop models that address complex institutional problems. 
  • Lead efforts to do predictive analytics on student success and retention that includes definition of the problem statement, development of an analysis plan, analyzing the data, and summarizing the findings. 
  • Identify and evaluate emerging trends in higher education.
  • Conduct or oversee business-specific projects by applying deep expertise in subject area.
  • Promote adherence to all procedures and policies.
  • Develop work plans to meet business priorities and deadlines.
  • Coordinate and delegate resources to accomplish organizational goals.
  • Partner internally and externally to make effective business decisions solving complex problems.
  • Raise issues or risks as appropriate, monitor progress and results, recognize and capitalize on improvement opportunities, and evaluate recommendations made by others.
  • Interpret complex data analyses by applying findings to contextual settings. Develop insights, reports, and presentations telling a compelling story to enable and influence decision making; participate in peer reviews; and provide context related to data interpretations and/or limitations as appropriate.
  • Lead the development of advanced analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; translate models and gain stakeholder agreement for implementation; craft complex models leading to actionable insights; and test, refine, and validate models.
  • Drive the execution of creative data analytic approaches leading to actionable outcomes across functional areas, business and/or clinical lines by defining and calculating complex metrics to be analyzed.
  • Prepare data for analytic efforts by integrating and consolidating data; ensure data quality and accuracy; profile data inaccuracies and recommend process improvements or system changes to improve overall quality of the data; collaborate with partners and source system owners to resolve data quality issues as appropriate; and clean and build final data set(s) for analysis.
  • Capture data and information on targeted variables in an established detailed fashion by validating data sources; query, merge, and extract data across internal and external sources; complete routine data refresh and update; develop and/or deliver complex tools for electronic data collection; and provide user training, support, and documentation.
  • Drive strategic data-informed decisions by consulting with clients and leadership to identify and clarify key business needs across functional areas, business and/or clinical lines; develop outcomes and process measures; translate business requirements; figure out data/information needs and data collection methods; developing complex analysis plans; evaluating the impact of business decisions on clients, customers, and/or members; partnering with clients and staff to find opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and detailing processes and deliverables.
  • Communicate to campus partners including university leadership. These communications include summary of finding and may include recommendations for operational improvements. 

What We Can Offer

Salary Range Starts at $76,000, commensurate with experience.


The University of Colorado offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO Pass. The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment. Learn more about the University of Colorado Boulder.

Be Statements

Be Curious. Be Groundbreaking. Be Boulder.

What We Require

  • Bachelor’s degree in statistics, data science, data analytics, economics, quantitative engineering field or a closely related discipline. 
  • Four years of experience as an institutional researcher, economist, quantitative researcher, business operations analyst, data scientist, or another closely related profession. This must include four years of experience using SAS, R, or Python for data mining in complex data systems and must include the following experiences in a professional or higher education environment: 
    • Two years applying statistical or mathematical concepts.
    • Two years using Tableau or other data visualization software.
    • Two years using advanced statistical or data science methods such as logistic regression, machine learning, gradient boosting, Markov chain models, or ensemble methods.
  • Two years of experience performing the following tasks: 
    • Analyzing large datasets. 
    • Building models from start to finish, including gathering and cleaning data, feature selection, algorithm selection, algorithm tuning, output generation and results interpretation.
    • Interpreting complex data analyses by applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to enable and influence decision making; participating in peer reviews, and providing context related to data interpretations and/or limitations as appropriate. 
    • Constructing comprehensive reports.

Special Instructions

To apply, please submit the following materials: 
1. A current resume. 
2. A cover letter that specifically addresses how your background and experience align with the requirements, qualifications, and responsibilities of the position.

You will not be asked to upload references at this time.

Please apply by February 16, 2020, for consideration.

Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.

Posting Contact Information

Posting Contact Name: Boulder Campus Human Resources

Posting Contact Email:

The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.