How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
A typical work week will include a large amount of programming and algorithm development (50%); a fair amount of data management, analysis, and visualization (25%); as well as some outreach, usability testing, brainstorming, and other tasks (25%).
* The desire and ability to do serious data munging and data wrangling is essential. At minimum, we expect demonstrated experience with SQL plus knowledge of another data preparation language (preferably R and/or Python). 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.
* We need the persistence, curiosity, and teamwork skills to collaborate with technical and non-technical peers and to tackle challenging questions head-on. Candidates should be capable of directing their own work and asking (and later answering) questions that lead to effective utilization of our data and the philanthropic behaviors it represents.
*The candidate should be passionate about data and algorithms and should have a nose for finding new and innovative ways to collect, analyze, and visualize data in easy to consume formats. Demands change rapidly, so those who understand the importance of reproducible research and the value of detailed documentation are greatly preferred.
* We don’t require a specific background, but we look for the types of skills gained with training in computer science, information science, or applied mathematics. Advanced degrees (or similar self-directed research experience) are a plus.
* Experience with, exposure to, or interest in learning machine learning and data mining concepts such as regression analysis, network / graph analysis, text mining, market basket analysis, decision trees, association rules, geographic analysis is important.
* Experience with version control tools like Git is strongly preferred.
* Our work involves using data to tell stories. Therefore, the ability or interest in creating data visualizations in Tableau, ggplot, or similar will be helpful.
For additional information about this position and to review other current openings in Development, please visit our website at: www.giving.umich.edu/careers
The Office of University Development maximizes private support for the University of Michigan through high-quality collaboration with the development programs of schools, colleges, and units. We also provide fundraising leadership through the stimulation and facilitation of healthy, productive and life-long relationships with our colleagues, alumni, friends, foundations and corporations.
Although the Posting End Date may indicate otherwise, this job may be filled and closed anytime after a posting duration of seven calendar days.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.