Statistical Developer - Machine Learning Department (MLD)-2015410
Carnegie Mellon University's mission is to build a transformative educational experience for students focused on deep disciplinary knowledge; problem solving; leadership, communication, and interpersonal skills; and personal health and well-being. Carnegie Mellon's School of Computer Science (SCS) is widely recognized as one of the first and the best computer science programs in the world. Our programs train the next generation of innovators to take real-world problems and improve the way people live and work.
This role will assist in Delphi's work to forecast the COVID-19 pandemic, deliver important information to public health officials, and provide support to researchers studying the effects of the pandemic on health and society.
As a statistical developer, your main responsibility will be to work with the Delphi forecasting team to produce software in R or Python that implements statistical models. You will also help support Delphi's goals for data outreach to the public health and research communities.
Core responsibilities will include:
Communicate with the forecasting team about the models under development.
Convert prototype code into production software, adding reliability infrastructure for data ingestion pipelines, input validation, output monitoring, and forecast evaluation and quality checks.
Work with system administrators to automate and deploy production versions, monitor and maintain all active deployments, and archive results on an ongoing basis.
Serve in the code review pool for R and Python software developed by Delphi for the pandemic.
Write documentation and tutorials for data and statistical tools developed by Delphi for the pandemic.
Develop examples that showcase use of the data and models published by Delphi for the pandemic.
MS or higher in statistics, machine learning, or a related field.
Extensive experience building statistical software using R and Python.
Experience using Git and GitHub to develop software.
Strong written communication skills, including experience communicating statistical methods and results to non-statisticians.
This position is remote-friendly and the length of this assignment will be for three months.
Are you passionate about this opportunity with us? Please apply!
Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
A listing of employee benefits is available at: www.cmu.edu/jobs/benefits-at-a-glance/.
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
Job Function: Software Engineering
Primary Location: United States-Pennsylvania-Pittsburgh
Time Type: Full Time
Minimum Education Level: Bachelor's Degree
Preferred Education Level: Master's Degree or equivalent
Internal Number: 2015410
About Carnegie Mellon University
Carnegie Mellon (www.cmu.edu) is a private, internationally ranked research university with programs in areas ranging from science, technology and business, to public policy, the humanities and the arts. More than 12,000 students in the university’s seven schools and colleges benefit from a small student-to-faculty ratio and an education characterized by its focus on creating and implementing solutions for real problems, interdisciplinary collaboration and innovation. A global university, Carnegie Mellon’s main campus in the United States is in Pittsburgh, Pa. It has campuses in California’s Silicon Valley and Qatar, and programs in Africa, Asia, Australia, Europe and Mexico.