In the March issue of the IMS Bulletin in 2014, Terry Speed advised his readers to Give Industry a Chance. Terry articulated the benefits of working in industry and suggested activities that could help graduate students explore career opportunities outside of academia.
National Institute of Statistical Sciences (NISS) has a mission to promote collaborations across different disciplines. On September 26, NISS sponsored its first virtual career fair, featuring career opportunities at Google, Merck, Minitab, RTI, and SAS. Recordings and presentations for the September 26 career fair are now available to the public.
NISS is holding a 2nd Industry Career Fair on December 6th (Friday) 12-1pm ET. The 2nd career fair will feature career opportunities for statisticians/data scientists/analysts in non-healthcare industries. Like the first career fair, the second one will be restricted to NISS affiliates only. The primary audience will be
The virtual career fair will use Zoom. Each presenter has 15 minutes to address the follow general topics:
- What are the job opportunities for statisticians/data scientists/analysts in your organization?
- Describe the range of skills statisticians/data scientists/analysts need to succeed in your organization?
- What is the career path for statisticians/data scientists/analysts in your organization?
- Is your organization currently hiring statisticians/data scientists/analysts?
- What advice would you give to students based on your experience?
Students/Faculty (at all levels) from NISS Affiliates Institutions who may be interested in learning career opportunities in non-healthcare industry either now or in the future. The career fair may also be of interest to those who are considering a career change to work in non-healthcare industry either now or in the future!
To register for the virtual career fair, your organization needs to be a NISS affiliate. Please check the list of NISS affiliates to see if your organization is a NISS affiliate. If you qualify to register, please use your .edu, .gov or .com email address when registering.
While the live event is limited to NISS affiliates, NISS will subsequently make video recordings from the fair available to the public at its website (www.niss.org) under Events->Meet-up Recordings at a later date.
We invite members from NISS affiliate organizations to join us at the second industry virtual career fair.
The Career Fair will be conducted using Zoom. REGISTER TODAY!
The program for this virtual career fair will be organized as follows:
12:00-12:05 Opening remarks
Esra Kurum, University of California, Riverside
12:05-12:20 Victor Lo, Head of Data Science and Artificial Intelligence - Fidelity Investment
12:20-12:35 Daniel Tu, Senior Director, Model Validation - Citizens Financial Group
12:35-12:50 Danny Jin, Statistics Director - Epsilon
Moderated by Esra Kurum
About the Presenters
Victor Lo has managed analytics teams in multiple organizations. Currently, he leads the Center of Excellence for AI and Data Science in Workplace Investments at Fidelity Investments. Previously Victor managed advanced analytics teams in Personal Investing, Corporate Treasury, Managerial Finance, and Healthcare and Total Well-being at Fidelity Investments. Prior to Fidelity, he was VP and Manager of Modeling and Analysis at FleetBoston Financial (now Bank of America). Victor has 25 years of extensive consulting and corporate experience employing data-driven solutions in a wide variety of business areas including marketing and finance. He is a pioneer of Uplift/True-lift modeling, a key subfield of data science.
Daniel Tu has over 20 years of industry and consulting experience in financial risk management, financial and credit modeling, banking product development, capital management, marketing, and economic analysis. Daniel leads a team that validates all models used in the Citizens Bank, the 13th largest commercial bank in the U.S. Prior to joining Citizens he was a Director at PricewaterhouseCoopers in its Banking and Capital Market Advisory practice. Daniel also worked for Bank of American in retail/small business credit product/risk management area. He earned M.S. in Finance from Boston College and M.A. in Economics (ABD) from Northeastern University. He holds professional designations including CFA, FRM and PRM.
Danny Jin is Statistics Director at Epsilon with 13 years of experience implementing advanced statistical tactics to maximize clients’ marketing ROI. His areas of expertise include predictive modeling, segmentation, classification and experimental design and measurement. Danny has serviced various industries including healthcare, retail, travel/hospitality, financial service and not-for-profit. He has experience managing a team of statisticians based in both the U.S. and India on multiple analytic engagements. Danny was also part of the Epsilon team that won the first place in Direct Marketing Association’s 2009 Analytic Challenge competition. He holds a M.S. in Applied Statistics from Worcester Polytechnic Institute.