The Data Science & Artificial Intelligence Lab is looking for a GA Data Scientist. Please see the details at:

Data Science Graduate Assistant

UConn Division of Enrollment Planning & Management and the Center for Excellence in Teaching and Learning are searching for a Graduate Assistant Data Scientist to join the ITS Data Science Team in several joint projects. The responsibilities will include the development of predictive models and the design/development of consuming reports, charts, and dashboards. The successful candidate will work closely with the Lead Data Scientist, and interact with ITS teams (Reporting and Analytics, Reporting Administration, Database Administration, Data Modeling/ETL), ITS partners, and others areas, as needed. The position is funded by the Center for Excellence in Teaching and Learning (CETL) and Division of Enrollment Planning & Management.

UConn Information Technology Services (ITS) is the University of Connecticut’s central IT department. ITS’s primary mission is to facilitate, coordinate and implement information technologies that enable the institutional missions of research, teaching, learning, and outreach. This is accomplished by identifying systems, services, and capabilities that have a positive, substantive impact on the community while delivering them robustly and at scale.

Develop models using HPC and Cloud
Collaborate with Data Scientists in ITS Data Science team, WebFOCUS Administration team, WebFOCUS Reporting Analytics team, and other ITS teams, as needed
Interact with functional experts to gather requirements
Create reports, charts, and dashboards that consume models

Bachelor’s degree (or equivalent) in Data Analytics, Informatics, Data Science, Computer Science, MIS, Engineering, or Mathematics, and pursuing an MS or Ph.D degree in these areas.
Coursework should include some of the following: Machine Learning, Deep Learning, Data Mining, Applied Statistics, Data Structure & Algorithms, Big Data Analytics, Predictive Modeling. Machine Learning or Predictive Modeling is a must.
Proficient with Python programming, knowing R is a plus
Proficient in open source packages for machine learning and data processing, including TensorFlow, NumPy, pandas, scikit-learn, imblearn, Keras, Pandas, Matplotlib, altair, and packages for connections to data sources
Some experience with data exploration for data quality and fixes
Experience working with data reports and charts using reporting software
Experience working with relational databases (such as MySQL, Oracle, and MSSQL), SQL, and SQL clients (such as MySQL Workbench, SQL Developer, SSMS)
Experience with version control software such as Bitbucket, Git.

Master’s degree in Data Analytics, Business Analytics, Informatics, Data Science, Computer Science or Engineering and Mathematics (STEM) discipline.
Some experience with machine learning development. Experience could be course projects, internships, GA, or other experience.
Experience with a Cloud platform such as Azure, AWS, or GCP.
Experience with WebFocus (reports, charts, dashboards).

Resumes should be submitted to Dr. Cuong Do at no later than August 31st.