Moshe Richard Katzwer
Data Science @ Doordash | ex-Uber, Gopuff, Airbnb
- Role
- Senior Manager, Data Science & Analytics at DoorDash
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Moshe Richard Katzwer
I am an economist by training who loves difficult inference econometrics, and optimization problems. I love to use structural modeling to model actual causal mechanisms that drive data. I am particularly drawn to the challenges of estimation and optimization in multi-sided dynamic marketplaces.I currently work at Doordash managing Data Science and Analytics for all things paid July 2024:I worked as a the Senior Technical Advisor to the head of Data Science at Gopuff. My focus was on bring rigor to incrementality measurement in paid marketing and growth initiatives. This includes developing the first experimentation and causal measurement frameworks for Gopuff\'s advertising and growth initiatives. I also did significant observational inference on customer sensitivity to delivery wait times that informed Gopuff\'s speed of delivery time positioning Jan 2023:I was a data science manager at Uber. I managed Uber Eats\' Merchant team, which oversaw all aspects of Uber\'s relationship with its merchant and restaurant partners. This included selection strategy, restaurant acquisition and onboarding, merchant performance and marketing tech, menu optimization and the surfaces that merchants use to manage their online businesses. I also managed Uber\'s New Verticals, including the Direct (3rd party delivery fulfillment) and Grocery businesses. During my team I grew this team from ~6 to ~25 data scientists and analysts.Before Merchant, I worked on the Uber Rides Rider Pricing team, developing Uber\'s long run pricing strategy. I also managed the Marketplace Experimentation team which focused on developing novel methods for measurement on Uber\'s complicated two- and three-sided marketplaces.
Experience
Senior Manager, Data Science & Analytics
Dec 2024 — Present · NJ, US
I manage Data Science and Analytics for the Doordash paid marketing team. We are a team of about 7 that focus on all aspects of paid marketing performance and brand awareness, from top- to bottom-of-funnel. Our work includes* Media Mix Modeling* Incrementality Testing, both geo tests and user AB tests* TV incrementality modeling* Multi-touch attribution* Long run brand impact modeling
Education
Carnegie Mellon University
Bachelor’s Degree, Economics and Mathematics
2006 — 2010
Princeton University
Doctor of Philosophy (Ph.D.), Economics
2010 — 2017
Princeton University
Master’s Degree, Economics
2010 — 2012
Golda Och Academy
High School Diploma
2002 — 2006
Skills
- Statistics
- Economics
- C
- Programming
- Microeconomics
- Modeling
- Matlab
- Econometrics
- Statistical Modeling
- Industrial Organization
- Java
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