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.
CAEN, the College of Engineering at the University of Michigan’s college-wide IT group, has an exciting opening for a Data Scientist. This person will be instrumental in assisting the College’s Advancement office with supporting a new and exciting college initiative building data analytics tools to drive new fundraising opportunities. There will be opportunities for you to collaborate with many other individuals across the University including Student Affairs, Communications & Marketing, and Business Intelligence groups, the Office of University Development and working with researchers in the Computer Science and Engineering department that are investigating natural language processing.
We’re looking to hire someone who can help us transform data into action. Though it is helpful to know something about statistics and data mining, this position is primarily focused on gaining insight from messy, real-world data by writing understandable and reusable code, and by developing a shared database and web applications to assist others in utilizing and visualizing this information.
This is a great opportunity for people passionate about data analytics in an educational setting. You will have many opportunities to learn and grow as part of our collaborative team. We welcome candidates from diverse backgrounds that share our passion for developing innovative solutions to free up time for other projects. We want you to bring your skills, experiences, and perspectives to our existing team, challenging our current team members to think about things in different ways and to see other points of view.
The College of Engineering’s vision is to be the world’s preeminent college of engineering serving the common good. To achieve our vision we have developed Vision, Mission and Values that are the framework for all that we do. Information about our Vision, Mission and Values can be found at: http://strategicvision.engin.umich.edu/.
The College of Engineering (CoE) is deeply committed to Diversity, Equity and Inclusion (DE&I) and has many programs and resources dedicated to ensuring a welcoming and inclusive environment. More information about the College’s commitment can be found at: http://www.engin.umich.edu/college/about/diversity.
Development and Analysis - Contribute development effort and high-level planning for web-based applications that improve data availability and access. Create applications that are secure, standards-based, and user-friendly. Evaluate and improve the applications over time. Automate the generation of reports and analyses that occur on a repeated basis. Create standard program libraries.
Statistical analysis and Machine learning - Collaborate with others on campus to identify and implement analytics-based solutions. Use innovative data sources and advanced statistical modeling, data analytics, and machine learning to assist with the development of predictive models. Apply statistical hypothesis testing methods to estimate the impact of decisions and quantify the uncertainty surrounding decision-making. Create applications to assist with the dissemination of the results by assisting with integrating data into tools that build informative reports, tables, presentations, and visualizations (e.g., charts, maps, and infographics).
Development of Data - Leverage available data sources by writing queries to retrieve and append data in internal databases. Work with others to improve, maintain, and share data gathered from the University’s various internal sources. Develop custom programs for scraping, cleaning and standardizing unstructured data. Continuously improve the quality of available data and reproducibility of analyses by developing and contributing to standard processes and documentation.
Education and Communication - Assist with the efforts to promote the use of data-driven decision-making across the College. Participate in College and University communities of practice. Investigate new data analysis technologies.
Master’s degree or equivalent combination of education and experience, with a demonstrated ability to apply modeling and analysis skills to real-world problems. Proven ability to find creative solutions while producing actionable results.
Three-five years’ experience with computer programming and data analysis.
Knowledge of relational databases (MySQL, Oracle, etc) and SQL.
Demonstrated knowledge of Git and Github.
Working with web services (APIs Management, Amazon Web Services).
Writing scripts for interfacing with web-based social media platforms.
Expert-level fluency in data management, machine learning and statistical analysis software including R, Python, among others.
Able to present and to synthesize complex and large data in a clear and cohesive manner information in both formal and informal settings, allowing you to impart understanding of complex ideas and statistics to others.
Willingness to tackle tough problems and try innovative solutions.
A strong desire to maintain fluency in cutting-edge analytical practices, algorithms, and software tools necessary for providing industry-leading fundraising analytics.
Ph.D. (or equivalent level of experience).
Experience developing web applications, particularly using “agile” methods and technologies such as jQuery, AngularJS, etc.
Experience and skills in natural language processing, data mining, and data science.
Demonstrated ability to implement machine learning models in scalable format for broad applicability.
A sound knowledge of statistics and quantitative modeling, as well as solid computer programming skills.
Experience organizing and assembling data for visualizations in Tableau, ggplot, or similar.
Working knowledge of current technologies for “big data” (Hadoop, MapReduce, etc).
Job openings are posted for a minimum of seven calendar days. This job may be removed from posting boards and filled anytime after the minimum posting period has ended.
The University of Michigan is an equal opportunity/affirmative action employer.
Internal Number: 160212
About University of Michigan - Ann Arbor
A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.