Rochester Data Science Consortium Intern – 217412

at University of Rochester
Published November 20, 2022
Location Rochester, United States of America
Category Data Science  
Job Type Internship  


Rochester Data Science Consortium Intern Job ID 217412

Location The College Full/Part Time TAR Favorite Job Regular/Temporary Regular OpeningTime as Reported Grade 001 Data Science Consortium

ResponsibilitiesThe University of Rochester’s Goergen Institute of Data Sciences (GIDS) is seeking interns for its new Rochester Data Science Consortium Internship Program.

As an employee of GIDS/RDSC, the successful intern candidate will have responsibility for supporting projects in the RDSC, which is focused on advancing regional economic development and supports a range of partnerships with industry in areas of data science research, training, technology development and access to research computing expertise and resources. Interns will work with the GIDS/RDSC Research Scientists, staff and other university researchers in these domains to understand both current world-class competencies and planned future research thrusts.

Analytics have shown the power to dramatically transform all aspects of our lives – Big Data is no longer an issue, rather it is how, when everything has become a data source, we best leverage and capture the meaning of this data. Our goal is to leverage the power of UR Data Sciences to transform regional businesses beyond their existing core offerings to forward-looking, high-value, transformative offerings that propel a redefinition of Rochester as a dynamic economic hub.

As a part of this unique program, interns will enjoy the following:

  • Mentorship by Consortium data scientists and staff
  • Data science competency development – learning processes, protocols, and real problem set exposure and
  • experience in different work settings (higher ed, virtual, corporate, varied business size)
  • Dedicated programming / lecture series provided jointly by GIDS and the Greene Center


  • Provide support to data scientists on Consortium projects with a goal of developing workable proof-of-concept data analytic solutions on a variety of platforms including cloud computing, big data, web and mobile by working independently on complex tasks assigned by Consortium staff, administering special projects or programs using the specialized skill sets, techniques
  • Query databases and using statistical computer languages and build models solvable by optimization libraries with a broad understanding of mathematical programming techniques including optimization heuristics and meta-heuristics like genetic algorithms.
  • Apply knowledge of a variety of machine learning techniques clustering, decision tree learning, artificial neural networks, etc.
  • Apply knowledge of advanced statistical techniques and concepts regression, properties of distributions, statistical tests and proper usage, etc. and experience with applications.
  • Create software and/or hardware and act as consultant when problems arise; making recommendations and/or repairs; assisting in planning, designing, creating, implementing, and conducting new techniques, procedures, practices or equipment.
  • Participate in professional development opportunities offered through the Rochester Data Science Consortium Internship program as well as other development opportunities offered outside of the program.


  • Candidate must be enrolled as a Master’s level student in either a Sciences or School of Engineering and Applied Sciences program OR must have previously completed the equivalent at another university.
  • Candidate must have advanced experience using some or all of the following: R, SQL, Hadoop, Excel, Tableau, MongoDB, Java, JavaScript, C/C++, Python, PHP, HTML, CSS, R, relational database systems, video/image/signal processing, natural language processing, and or statistics.
  • Candidate must have experience with Cloud Computing; Data Mining; Data Visualization; Machine Learning
  • Knowledge of statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Strong problem-solving skills with an emphasis on data analytics
  • Excellent verbal and written communications skills with ability to interface with persons of varying technical backgrounds
  • Resume required.

    How To Apply

All applicants must apply online.

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