Siddharth Patil
EVP of Data Science at Lyft | San Francisco, California, United States
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Siddharth Patil currently serves as the Executive Vice President of Marketplace at Lyft, where he leads a multifaceted team encompassing Engineering, Data Science, Product, Analytics, and Operations. In this pivotal role, he leverages his extensive expertise in big data and machine learning to optimize the rideshare platform, ensuring that Lyft remains at the forefront of innovation in the transportation sector. Siddharth's journey at Lyft began as the Head of Rideshare Science, where he spearheaded key projects that harnessed advanced algorithms and high-performance computing to enhance user experience and operational efficiency. His work in this area not only improved ride matching and pricing strategies but also laid the groundwork for data-driven decision-making across the organization.
Siddharth is passionate about building and mentoring diverse data science teams, viewing this process as akin to parenting. He thrives on fostering an environment where scientists and leaders can grow, think critically, and tackle complex challenges. His leadership style emphasizes collaboration and cross-functional teamwork, enabling his teams to deliver impactful solutions that drive Lyft's marketplace strategy. With a strong foundation in enterprise software and data visualization, Siddharth is adept at translating complex data insights into actionable strategies that resonate across the organization. His commitment to nurturing talent and promoting a culture of continuous learning makes him a vital asset to Lyft as it navigates the evolving landscape of ridesharing and mobility solutions. For more insights and updates, you can follow him on Twitter @sidp1897.
EVP of Data Science at Lyft in April 2023 to Present
Head of Rideshare Science at Lyft in February 2020 to March 2023
Head of Data Science for Growth at Lyft in August 2019 to January 2020
Sr Director of Data Science, Listeners at Pandora in September 2018 to August 2019
Director of Data Science, Listeners at Pandora in March 2016 to September 2018
Head of Data Science, TellApart division at Twitter in April 2015 to March 2016
Head of Data Science at TellApart (acquired by Twitter) in May 2014 to April 2015
Chief Science Officer at Freshplum (acquired by TellApart) in January 2013 to May 2014
Senior Director of Data Science at DemandTec, an IBM company (acquired by IBM Dec 2011) in January 2010 to January 2013
Director, Modeling and Analytic Services at DemandTec, an IBM company (acquired by IBM Dec 2011) in January 2008 to January 2010
Manager, Modeling and Analytic Services at DemandTec in January 2006 to December 2007
Science Analyst, Modeling and Analytic Services at DemandTec in February 2003 to December 2005
Decision Engineer at Rapt in August 2002 to February 2003
Blackjack at Blackjack in August 1998 to December 2000
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Predictive Analytics
Big Data
Analytics
SaaS
Enterprise Software
Business Intelligence
Cross-functional Team Leadership
Go-to-market Strategy
Cloud Computing
Management
Predictive Modeling
Agile Methodologies
Unix
Databases
Perl
Scalability
Strategy
Distributed Systems
SQL
High Performance Computing
Data Mining
Hadoop
Optimization
Product Management
Machine Learning
Algorithms
Python
Software Development
R
Statistical Modeling
Data Visualization
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Discover more about LyftWhat is Siddharth Patil email address?
Email Siddharth Patil at [email protected] and [email protected]. This email is the most updated Siddharth Patil's email found in 2026.
What is Siddharth Patil phone number?
Siddharth Patil phone number is +1.5106825485.
How to contact Siddharth Patil?
To contact Siddharth Patil send an email to [email protected] or [email protected]. If you want to call Siddharth Patil try calling on +1.5106825485.
What company does Siddharth Patil work for?
Siddharth Patil works for Lyft
What is Siddharth Patil's role at Lyft?
Siddharth Patil is EVP of Data Science
What industry does Siddharth Patil work in?
Siddharth Patil works in the Computer Software industry.
Siddharth Patil Email Addresses
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