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Lyft data scientist shares five pieces of career advice

Troy Shu shares his advice on starting a new role, becoming a better storyteller, stakeholder management, managing up, and building a consultancy

Andrei Lyskov
Towards Data Science
5 min readMay 6, 2019

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Troy Shu is currently a data scientist at Lyft, a transportation company with over 23 million users. He’s located in New York, where he’s helping build out the bikes and scooters side of the business. His work includes collaborating with data engineers to build data pipelines in Airflow, creating dashboards, conducting A/B tests, and working with product managers on product analytics.

Before Lyft, he worked as a data scientist at Squarespace, ran his own data science consultancy, worked as a software engineer at Bond Street as well as a research analyst at AQR (Where Wes McKinney created and open-sourced the Pandas Python library). He graduated from the University of Pennsylvania with a dual-degree in Computer Science and Economics.

1. On Starting A New Role
When starting at a new company, Troy first recommends building domain expertise. The best way to build domain expertise is to talk to lots of people, both within your department as well as outside of it. When he first joined Lyft, he made sure to schedule 15mins with folks from a variety of departments to…

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Towards Data Science
Towards Data Science

Published in Towards Data Science

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Andrei Lyskov
Andrei Lyskov

Written by Andrei Lyskov

Data Scientist at Meta writing about Data Science, Quantified Self, Philosophy and other topics. Previously worked at Apple, Coinbase and Square

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