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Data Scientist; Hybrid

Job in Ann Arbor, Washtenaw County, Michigan, 48113, USA
Listing for: Michigan Giving
Full Time position
Listed on 2026-05-24
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist (Hybrid)

Job Summary

Reports to:

Director of Data Science and Decision Support. Direct reports: N/A.

What you will do

As a data scientist at the University of Michigan, you will generate insight from messy, real‑world data by writing understandable and reusable code for statistical analysis and data mining, and by developing interactive dashboards and web applications. A typical work week will include deep collaboration with the Marketing and Communications team, a large amount of programming and algorithm development, a fair amount of data management, analysis, and visualization, as well as some outreach, usability testing, and brainstorming.

Required Qualifications
  • Bachelor's degree in Data Science, Information Systems, Computer Science, Mathematics, Statistics, Business Intelligence, Analytics, Finance, Information Management, or a related field.
  • 2+ years of experience with demonstrated competencies in information retrieval, computer science, data analysis, or related fields.
  • Proficient in data munging and wrangling, including SQL and at least one additional data preparation language, capable of merging large datasets, cleaning messy records, recoding missing values, converting between data formats, and building standardized datasets for broader use.
  • Ability to translate data into actionable insights, presenting findings in clear, cohesive narratives for both formal and informal settings, and translating complex data findings into non‑technical summaries that a wide variety of stakeholders can understand.
  • Strong synthesis and storytelling skills using data.
  • Curiosity, teamwork, and collaboration with technical and non‑technical peers to solve challenging questions.
  • Experience developing interactive, reusable, and self‑service online analytics tools.
  • Familiarity or interest in learning machine learning and data mining concepts and techniques.
  • Comfort with the nuances of the higher education environment.
  • Experience with cloud‑based analytics tools.
Benefits
  • Generous time off.
  • Retirement plan with two‑for‑one matching contributions with immediate investing.
  • Comprehensive health insurance choices.
  • Life insurance.
  • Long‑term disability coverage.
  • Flexible spending accounts for healthcare and dependent care expenses.
Work Location and Mode

Hybrid position in Ann Arbor, MI (Michigan House, 2301 Commonwealth Blvd, Ann Arbor, MI 48105).

EEO Statement

The University of Michigan is an equal employment opportunity employer.

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