Data Scientist (Hybrid)

A cover letter and resume are both required for consideration and must be attached as one file, due to system limitations. In your cover letter, please let us know how your experience, career aspirations, and accomplishments directly relate to this position, and share examples of times you've collaborated across teams or communicated complex technical concepts to diverse audiences. To ensure a fair and efficient review process, please limit your submission to one application per role.

Work Authorization Requirement:

Applicants must be currently authorized to work in the United States on a full-time basis and must not require, now or at any time in the future, sponsorship for employment visa status.

Exciting News:

We Moved! Join our team at our brand-new location, Michigan House! You'll find us at 2301 Commonwealth Blvd, Ann Arbor, MI 48105.

Reports to:

Director of Data Science and Decision Support Direct reports: N/A What you will do: We are a small team of data lovers using data for the common good, helping the University of Michigan improve our world through data-informed philanthropy. We not only transform data into action, we do so mindfully, maintaining a holistic commitment to inclusion in all that we do. As our new data scientist, you will gain 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. For the full job description with a detailed list of responsibilities, please click here. Bachelor's degree in fields such as Data Science, Information Systems, Computer Science, Mathematics, Statistics, Business Intelligence, Analytics, Finance, Information Management or similar 2+ years of experience with demonstrated competencies in information retrieval, computer science, data analysis, or similar fields Ability to do serious data munging and data wrangling is essential. Demonstrated experience with SQL plus knowledge of another data preparation language. Must be able to use these tools to merge large datasets, locate and clean messy records, recode missing values, convert between data formats, and construct standardized datasets for wider use Proven ability to turn data into action, emphasizing the ability to understand and utilize large datasets representing complex phenomena and to present findings in a clear and cohesive manner. Must demonstrate ability to present information in formal and informal settings and translate complex data findings and ideas into clear, non-technical summaries that a wide variety of stakeholders can understand The ability to synthesize and translate data into meaningful stories Curiosity, and teamwork skills to collaborate with technical and non-technical peers and to solve challenging questions head-on Exposure to developing interactive, reusable and self-service online analytics tools Familiarity with, or interest in learning, various machine learning and data mining concepts and techniques Familiarity and comfort with the nuances of the higher education environment Exposure to cloud-based analytics tools For additional information about this position and to review other current openings in Development, please visit our website at: https://giving.umich.edu/um/careers The University of Michigan is an equal employment opportunity employer.