Wednesday, March 22, 2023 on ZOOM starting at NOON Eastern Time (12pm - 1:30pm)
[Please Note: This event has already taken place. Please review the News Story for this event to read about what happened.]
Interested in pursuing a career as a statistician or data scientist at an institution beyond the tech industry? Perhaps you already have accepted an offer or will be on the market this coming year. Then you won’t want to miss this next career fair hosted by NISS that will offer essential information about job opportunities for statisticians/data scientists in different environments!
During this career fair, you will hear from speakers who will provide attendees an inside look at the varying aspects of research and service that statisticians in these various institutions get involved in and the career opportunities available for you to consider! Each presenter will give a brief overview of their institution and discuss their opportunities, then we will transition to a panel discussion that will address the following general topics:
- What advice do you give your new hires?
- How can a new hire seek out a colleague who can provide good career advice?
- What are the potential distinguishing characteristics of candidates for positions in your institution?
- What advice would you give to potential job candidates this coming year?
- What advice would you give about how Ph.D. students or postdocs should prepare for the future?
- A live Q&A Session will take place after the panel discussion.
About the Speakers
Rebecca Ferrell, MS | is currently the Director of Testing Analytics at Starbucks in Seattle, leading a team of data and decision scientists supporting in-store, marketing, and digital experimentation. At Starbucks, she has held previous roles in customer analytics, measurement science, and forecasting. Rebecca earned a BS in Mathematics from Carleton College and an MS in Statistics from the University of Washington. Prior to UW, she also worked as an analyst in healthcare economic consulting.
Daniel Jeske, PhD, | is the Vice Provost of Academic Personnel and a Professor in the Department of Statistics at the University of California, Riverside, and served a 7-year term as the Statistics Department Chair. As Vice Provost he leads the team at UCR that oversees merit and promotion reviews, recruitment, and training of academic employees. He is an Elected Fellow of the American Statistical Association (ASA) and a past Editor-in-Chief of The American Statistician. He is the current President of the International Society of Business and Industrial Statistics (ISBIS), a society of the International Statistical Institute (ISI). His research interests have included classification and prediction methodologies, mixture models, statistical process control methodologies, biostatistics applications, and reliability modeling.
Thanh Nguyen, MS | is currently a Bioinformatics Data Analyst at the Moffit Cancer Center where she analyzes multiome data. She earned a BA in Marketing and Statistics at Truman State University and an MS in Operations Research from Illinois Institute of Technology.
Jim Harmon, PhD, | is a Staff Data Scientist at Liberty Mutual. Prior to that, he earned a BS in math from MIT and a PhD in statistics at the University of Washington, where he was awarded the Dorothy M. Gilford Teaching Award in 2013. Along the way, Jim has worked as an actuary and has also worked in a number of teaching roles both in and outside of university contexts. In short, his expertise can be summarized with two statements: He solves complex, quantitative problems and he helps people understand the solutions to those problems. These are the common threads running through his actuarial, teaching, and data scientist experiences.
Moderator Wei Vivian Li, PhD, | is an Assistant Professor in the Department of Statistics at University of California, Riverside. She is also a faculty member of the UCR graduate program in Genetics, Genomics & Bioinformatics. Previously, she was an Assistant Professor at Rutgers Department of Biostatistics and Epidemiology. Vivian obtained her Ph.D. degree in Statistics from the University of California, Los Angeles, where she was working with Dr. Jingyi Jessica Li. Prior to joining UCLA, Vivian received her B.S. in Statistics from the School of Mathematics and Statistics at Huazhong University of Science and Technology.