Xiaotong Chen

Q: What is Xiaotong Chen email address?

Email Xiaotong Chen at xtchen64@gmail.com and xiaotong.chen@doordash.com. This email is the most updated Xiaotong Chen's email found in 2026.

Q: How to contact Xiaotong Chen?

To contact Xiaotong Chen send an email to xtchen64@gmail.com or xiaotong.chen@doordash.com. (updated on September 04, 2024)

Data Scientist, Tech Lead on Dasher Pay at DoorDash | San Francisco Bay Area

About Xiaotong Chen

Xiaotong Chen is a talented Data Scientist at DoorDash, where she plays a pivotal role in enhancing Dasher Pay and driving logistics growth. With a robust background in AI and machine learning, honed during her tenure as an AI/ML Engineer at LinkedIn, Xiaotong leverages her expertise to develop innovative solutions that optimize delivery processes and improve driver compensation models. Her work is grounded in rigorous data analysis and experimentation, utilizing A/B testing methodologies to assess the impact of various initiatives on Dasher engagement and satisfaction.

Xiaotong’s academic credentials, including a Master of Business Analytics from MIT Sloan and the Operations Research Center, provide her with a solid foundation in quantitative analysis and strategic decision-making. She is adept at employing advanced algorithms and machine learning techniques, particularly in PyTorch and Scala within Spark, to extract actionable insights from complex datasets. Her proficiency in Python, combined with tools like Tableau and Alteryx, enables her to visualize data effectively and communicate findings to stakeholders, ensuring that data-driven decisions are at the forefront of DoorDash's operational strategies.

Currently, Xiaotong is involved in key projects that focus on enhancing the efficiency of the logistics network while ensuring fair compensation for Dashers. By integrating generative AI into predictive modeling, she aims to refine demand forecasting and resource allocation, ultimately contributing to a more sustainable and profitable delivery ecosystem. Her commitment to leveraging data science for real-world applications positions her as a valuable asset in the rapidly evolving landscape of food delivery and logistics.

Xiaotong Chen Work