Data Scientist

Employer Info:

Rochester Institute of Technology

http://www.rit.edu

Founded in 1829, Rochester Institute of Technology is a diverse and collaborative community of engaged, socially conscious, and intellectually curious minds. Through creativity and innovation, and an intentional blending of technology, the arts and design, we provide exceptional individuals with a wide range of academic opportunities, including a leading research program and an internationally recognized education for deaf and hard-of-hearing students. Beyond our main campus in Rochester, New York, RIT has international campuses in China, Croatia, Dubai, and Kosovo. And with more than 19,000 students and more than 125,000 graduates from all 50 states and over 100 nations, RIT is driving progress in industries and communities around the world. At RIT, we are always on to something amazing.
Job Name
Data Scientist
Posting Date
09/16/2019
Brief Description
Rochester Institute of Technology is seeking a highly motivated, curiosity-driven, and innovative Data Scientist to support student success initiatives and other university-wide projects. The Data Scientist will provide campus leadership with actionable insights and opportunities through the use of complex statistical analyses, data mining and visualization techniques. This position will be responsible for supporting stakeholders’ analytic business needs through requirements gathering, data discovery, advanced analysis, reporting, and presentation.
Job Category
Institutional Research
Job Type
Full-Time
Education Level Required
Masters
Location City
Rochester, NY 14623, United states
How to Apply
In order to be considered for this position, you must apply for it at: http://careers.rit.edu/staff. Click the link for search openings and in the keyword search field, enter the title of the position [Data Scientist] or the BR number [4828BR].
Direct Link
Click here for more info
Job Details
Responsibilities include:
  • Performing complex statistical and analytical tasks, including predictive and other forms of modeling, to support strategic initiatives and the management of the university
  • Synthesizing and communicating complex methodologies, findings, and related information in ways that promote understanding and use by university partners 
  • Identifying, integrating and preparing large volumes of data
  • Partnering with ITS teams to support data extraction, integration, and storage requirements based on the input collected from university partners
  • Providing technical assistance during the implementation of the results to support university goals and student success initiatives
  • Conducting the enrollment projections in collaboration with Enrollment Management​
  • Working with university stakeholders to identify and document business requirements, translating stakeholder requirements into analytic methods that are appropriate for business needs and research questions
  • Maintaining knowledge of best practices in institutional research, analytics, SAS, and other software tools 

Required Minimum Qualifications:

  • Demonstrated knowledge and skills related to statistics and research methods including quantitative analytics, forecasting/predictive analytics, multivariate analytics, and data mining
  • Strong statistical programming skills such as SAS, R, or equivalent software
  • Ability to work in iterative projects with changing or loosely defined business requirements
  • Experience with large and complex data structures, data wrangling, creating and maintaining databases  
  • Excellent writing and communication skills, including the ability to translate quantitative data into visual displays of information and  synthesize and communicate complex information to university partners
  • Ability to anticipate and identify issues and develop practical and timely solutions
  • Ability to collaborate effectively with others and work on multiple tasks with competing deadlines
  • High attention to detail and data accuracy

​Preferred Qualifications:

  • Proficiency with Tableau or equivalent software
  • Experience in higher education
  • Experience in leading cross-functional projects

Required Application Documents:

  • Cover Letter, Curriculum Vitae or Resume, List of References