Economics in Tech

Megan Thomas, Amazon
Economics in Tech
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Megan D. Thomas
University of Texas at Austin 2016 Ph.D.
Background in Development Economics
Senior Economist at Amazon
Marketing
Alexa
Finance
Optimization
Economist Skill Set (Athey and Luca, 2019)
The ability to assess and interpret empirical relationships and work
with data.
The ability to understand and design markets and incentives, taking
into account the information environment and strategic interactions.
The ability to understand industry structure and equilibrium behavior
by firms.
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Meet the business team
What ambiguous problem are they trying to solve?
Work through the ambiguity and frame the question
Determine the Data and Modeling Approach
Pull and process the right data from large databases
Explore applicable econ models and/or ML techniques
Make a Product
Work with Engineers to take the model and build a product
Have a Business Impact
Guide the business on the right use the results and make them self
sufficient to use the information from the product
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Demand Estimation
New Products
Forecasting
Supply planning and optimization
Planning labor needs at different times
Improving P&Ls in Finance
Causal Inference
Effect of program changes
Effect of customer driven actions
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Structural Modeling
Forecasting
Experimentation
Quasi-experimental analysis
Optimization
Machine Learning
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Marketing
What is the effectiveness of our advertising channels?
How do we effectively allocate spend across different channels?
Which is the right channel for which audience?
What is the optimal messaging and targeting?
Product : Alexa
What is the long term impact of feature discover?
What is the long term impact of a negative experience?
Content optimization
What features do we roll out next?
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Finance
Forecasting P&L items.
Understanding macro effects on the company’s P&L.
Understanding growth attribution to internal and external factors.
Featuring Sellers
What is the best offer to show a customer for a given product?
What is the effect on customers?
What is the effect on sellers?
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Independence in owning a product
Building a science team
Working with rich data
Working with people from diverse backgrounds
Having influence across different science projects
Seeing your work’s impact being realized in the real world
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:
Athey, Susan, and Michael Luca. 2019. "Economists (and Economics)
in Tech Companies." Journal of Economic Perspectives, 33 (1): 209-30
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  • Smagorinsky Model
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Presentation Transcript


  1. Economics in Tech Megan Thomas, Amazon

  2. Introduction Introduction Megan D. Thomas University of Texas at Austin 2016 Ph.D. Background in Development Economics Senior Economist at Amazon Marketing Alexa Finance Optimization

  3. Economist Skill Set (Athey and Luca, 2019) The ability to assess and interpret empirical relationships and work with data. The ability to understand and design markets and incentives, taking into account the information environment and strategic interactions. The ability to understand industry structure and equilibrium behavior by firms.

  4. A Typical Day in the Life of an Economist A Typical Day in the Life of an Economist Meet the business team What ambiguous problem are they trying to solve? Work through the ambiguity and frame the question Determine the Data and Modeling Approach Pull and process the right data from large databases Explore applicable econ models and/or ML techniques Make a Product Work with Engineers to take the model and build a product Have a Business Impact Guide the business on the right use the results and make them self sufficient to use the information from the product

  5. Problems for Economists in Tech Problems for Economists in Tech Demand Estimation New Products Forecasting Supply planning and optimization Planning labor needs at different times Improving P&Ls in Finance Causal Inference Effect of program changes Effect of customer driven actions

  6. Techniques used by Economists in Tech Techniques used by Economists in Tech Structural Modeling Forecasting Experimentation Quasi-experimental analysis Optimization Machine Learning

  7. Some Examples from Experience Some Examples from Experience Marketing What is the effectiveness of our advertising channels? How do we effectively allocate spend across different channels? Which is the right channel for which audience? What is the optimal messaging and targeting? Product : Alexa What is the long term impact of feature discover? What is the long term impact of a negative experience? Content optimization What features do we roll out next?

  8. Some Examples from Experience Some Examples from Experience Finance Forecasting P&L items. Understanding macro effects on the company s P&L. Understanding growth attribution to internal and external factors. Featuring Sellers What is the best offer to show a customer for a given product? What is the effect on customers? What is the effect on sellers?

  9. Career Growth Career Growth Independence in owning a product Building a science team Working with rich data Working with people from diverse backgrounds Having influence across different science projects Seeing your work s impact being realized in the real world

  10. To learn more: To learn more: Athey, Susan, and Michael Luca. 2019. "Economists (and Economics) in Tech Companies." Journal of Economic Perspectives, 33 (1): 209-30

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