Glassdoor Economic Research shares insights and conducts research on today’s labor market. Our economists and data scientists help job seekers, employers, and the media understand trends in hiring, pay and the broader economy based on Glassdoor’s unique data on job openings, salaries, benefits, company reviews and more. [GitHub | Tableau Public]
Dr. Andrew Chamberlain
Dr. Andrew Chamberlain is chief economist at Glassdoor. He oversees the research program at Glassdoor, providing analysis and commentary on labor market trends. He is an applied microeconomist who has written widely on labor markets and public policy. His work has been published in academic journals, cited in U.S. congressional testimony, and has been featured in the Wall Street Journal, the New York Times, the Washington Post, NPR, BBC and many others, and he is a regular guest on various television and radio programs. Previously Andrew was a policy economist in Washington, D.C. and chief economist at Columbia Economics, L.L.C. Andrew received his Ph.D. in economics from the University of California, San Diego, and bachelor’s degrees in economics and business administration from the University of Washington in Seattle. [Twitter | Medium]
Ling Cheng is a lead data scientist at Glassdoor. She has developed a variety of machine-learning and statistical models, including algorithms for auto-moderation of user-generated content and job title normalization. Additionally, she has contributed to Glassdoor’s Jobs Explorer product and has helped develop models for salary prediction and improving member engagement. Previously, Ling developed financial software at Moody’s Analytics and researched jobs data at Simply Hired. She holds a bachelor’s degree in applied math from Columbia University.
Tomer Dekel is a senior manager in the decision science team at Glassdoor. He leads the business to business decision science team, focused on scaling all of Glassdoor’s revenue generating products. He is passionate about shaping product strategies and driving change across organizations through distilled and actionable analyses. Prior to joining Glassdoor, Tomer spent six years at eBay, where he progressed through a variety of analytics roles and was primarily responsible for scaling new strategic products. Tomer holds a bachelor's degree in industrial engineering and management with a specialization in machine learning from Ben Gurion University in Israel.
Dr. Ozan Koyluoglu
Ozan Koyluoglu is a lead data scientist at Glassdoor. His work is focused on developing machine learning algorithms for job search ranking and job title classification. Prior to joining Glassdoor, Ozan held industry and academic positions at Huawei, the University of California, Berkeley, the University of Arizona, and the University of Texas at Austin working in the areas of information theory, machine learning, and computational neuroscience. He holds a bachelor’s degree in electrical and electronics engineering from Bilkent University, and masters and Ph.D. degrees in electrical and computer engineering from the Ohio State University.
Marielle is a senior analyst at Glassdoor. She is responsible for creating a variety of written pieces that layer economic research findings into relevant and relatable stories about what makes organizations great, from how they recruit to how they engage and retain their best people. Before joining Glassdoor, Marielle worked as a writer and content strategist for Facebook, SAP and other San Francisco Bay Area tech companies. She holds a bachelor's degree in English and classics from Penn State University and a dual master’s degree in academic publishing and English from Arizona State University.
Morgan Smart is a data scientist at Glassdoor, focused on building models and data analytics and reporting around the company's consumer engagement metrics. Prior to this role, Morgan worked on the Glassdoor Economic Research team to develop the data production behind Glassdoor Local Pay Reports and other machine learning models. She holds a bachelor's degree in statistics from the University of California, Berkeley.
Amanda Stansell is an economics research analyst at Glassdoor. She is passionate about leveraging Glassdoor’s unique data to produce impactful analyses on the latest trends shaping the workforce that are relevant for job seekers and employers. Before joining Glassdoor, Amanda was an analyst at Nexant, focused on energy savings analyses and conducting A/B tests for electric and gas utilities. She holds a bachelor’s degree in economics and mathematics with a minor in statistical sciences from the University of California, Santa Barbara.
Alison Sullivan is a data and economics communications manager at Glassdoor. She is responsible for the Economic Research team's media relations and communications efforts. She works with Glassdoor's chief economist and data scientists to tell data-driven stories about what’s happening in the job market, workplace, and recruiting. Before joining Glassdoor, Alison was at LaunchSquad where she drove public relations and creative campaigns for startups and brands in technology and consumer goods. She holds a bachelor's degree in journalism and political science from the University of Iowa.
Dr. Alan Wilson
Alan Wilson is a senior data scientist at Glassdoor. His work is focused on Glassdoor’s job openings data, particularly the job search experience and our self-service job ads product. Alan has contributed to various marketing analytics such as the long-term value of users and has explored details of supply and demand in Glassdoor’s job market. Alan is passionate about good data visualizations and is a local Python and Tableau expert. He is also a key contributor to core machine learning projects such as our job title normalization algorithm. Previously Alan worked in high-energy physics at CERN in Geneva, Switzerland, contributing to the discovery of the Higgs Boson. He holds a doctorate in physics and a master’s degree in math from the University of Michigan. He grew up in Washington and earned bachelor’s degrees in mathematical sciences and computer engineering from the University of Washington in Seattle.
Daniel Zhao is a senior data scientist at Glassdoor. He’s primarily focused on improving the user experience (UX) for Glassdoor’s consumer jobs product. He is passionate about making the job search process more efficient, transparent and fair, and about the intersection of data science and the social sciences. Prior to joining Glassdoor, Daniel worked on email marketing personalization as a data scientist at Wayfair in Boston. He holds a bachelor's degree in applied mathematics and economics from Harvard University.