Data Science and Machine Learning at Etsy

I was Director of Engineering, Data Science and Machine Learning at Etsy Inc. during 2016 and 2020. My responsibilities included:

  • As a manager, I grew an organization of multiple teams from 5 to almost 40 Master and Ph.D. level Data Scientists and Machine Learning Engineers, located in New York City and San Francisco offices, with backgrounds in Computer Science, Operation Research, Electrical Engineering, Statistics, Economics, Physics and others, including graduates from Harvard University, Cornell University, Carnegie Mellon University and others. My reports include several front-line managers and one architect, both grown internally and hired externally.
  • As a department head, I worked with senior leaders in the company (e.g., VP of Engineering, CTO and others) to develop strategies for cross-functional collaboration to incorporate Machine Learning as a key element in product development, complementing Design, Analytics, UX Research, and Product Engineering.
  • As a technical leader, I drove Machine Learning and Data Science vision and deliver cutting-edge scientific solutions for Search & Discovery, Personalization & Recommendation and Computational Advertising by utilizing a wide range of technologies such as deep learning, probabilistic modeling, image understanding (computer vision), user profiling, query understanding, text mining and others. Results are published in SIGIR 2018, WSDM 2019, KDD 2019, WSDM 2020 and other venues.

We worked on innovations to power products and develop state-of-the-art algorithms and models. We involved in research communities by giving talks and publish high-quality papers in top computer science venues. Check out our blog posts about how data science can directly impact our products.

Talks

Blog Posts

Publications