AeroLeads people directory · profile
David Brodsky Email & Phone Number
Data Science Manager
at
DoorDash
1 work email found
@baruchmail.cuny.edu
LinkedIn matched
✓ Verified July 2026
4 data sources
Profile completeness 100%
Who is David Brodsky? Overview
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Quick answer
David Brodsky is listed as Data Science Manager at DoorDash, based in New York, United States. AeroLeads shows a work email signal at baruchmail.cuny.edu and a matched LinkedIn profile for David Brodsky.
David Brodsky previously worked as Founding Team, Vice President of Product & Data at Table22 and Director of Analytics and Data Science at Loftsmart. David Brodsky holds Bachelor Of Arts - Ba, Mathematics And Economics from Macaulay Honors College At The City University Of New York.
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Email format at DoorDash
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{first}.{last}@baruchmail.cuny.edu
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AeroLeads found 1 current-domain work email signal for David Brodsky. Compare company email patterns before reaching out.
Profile bio
About David Brodsky
Product and data science leader with over a decade of experience building and leading high-performing teams across diverse company stages, from large public companies to pre-product market fit startups. Domain expertise in SaaS and marketplace businesses. I love building a deep understanding of people and the true “jobs-to-be-done” for them. I thrive with meaty, open-scoped problems and making decisions under major uncertainty. I’m passionate about making small, independent businesses and creators successful by bringing them big company tech, tooling, and know-how. I’m excited by how GenAI makes it so much more possible to do so.
Listed skills include Data Analysis, Economics, Statistics, Valuation, and 10 others.
Current workplace
David Brodsky's current company
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10 roles
David Brodsky work experience
A career timeline built from the work history available for this profile.
Founding Team, Vice President Of Product & Data
CurrentLead the product and data orgs.- Own the product roadmap, improving the core subscription product while leading the development of new product launches (holiday packages; digital membership cards)- Analyze and develop interventions to improve member retention- Built and maintain the core merchant prospect scoring model leveraging econometric modeling and LLM / GenAI inputs- Implemented and leveraged an experimentation & A/B testing framework to optimize frontsite user conversion
May 2020 - Present
Director Of Analytics And Data Science
Led a team of 3 in building the core data and analytical infrastructure to drive more rigorous, data-informed decision-making across the product, marketing, and leadership teams. Ultimately flexed into a Growth-type role leading our GTM strategy and execution.
Oct 2018 - May 2020
Senior Data Scientist, Monetization/Conversion Team Lead
Led a team of 4 data scientists in solving the company’s most pressing growth-related problems utilizing econometric and machine learning techniques.— Conceived and built out the Monetization Analytics team including setting team vision, roadmap, goals, and operational best practice— Led development of the business’ core statistical models including LTV, conversion, retention— Formulated a revised premium pricing strategy by modeling price elasticity of user plan choice
Nov 2017 - Oct 2018
Data Scientist
Focused on driving better decision-making for the Marketing org and building tools for experimentation, including:— Writing the team's foundational Bayesian A/B testing and data visualization library— Rewriting the team's marketing attribution framework and developing a Bayesian time-series-based methodology for assessing causal impact of marketing campaigns— Starting and leading a 25+ person, cross-functional statistics seminar for the Data and Marketing teams
Apr 2016 - Nov 2017
Research Associate
Led teams of up to 11 analysts and associates in conducting and communicating complex economic and statistical analyses in multi-billion dollar litigatory and regulatory contexts, such as antitrust cases.
Jul 2015 - Apr 2016
Senior Analyst
Performed open ended analytical and research tasks, synthesizing the results into intuitive, visual exhibits. Guided direction of case team’s research and communicated analyses to senior staff, experts, and clients.
Jul 2014 - Jul 2015
Analyst
Worked closely with case data and documents to structure and execute analytical and research tasks. Consistently provided analytical insights affecting case strategy. Presented results of analyses at team and expert meetings.
Aug 2012 - Jul 2014
Summer Analyst
Jun 2011 - Aug 2011
Analyst
Researched and wrote over 20 credit risk analyses highlighting default risk in the retail and supermarket industries; using statistical techniques, helped develop financial ratio-based models for evaluating credit risk
Oct 2010 - Jun 2011
3 education records
David Brodsky education
Bachelor Of Arts - Ba, Mathematics And Economics
Macaulay Honors College At The City University Of New York
Bachelor Of Arts (B.A.), Mathematics; Economics
Baruch College
Education record
Stuyvesant High School
FAQ
Frequently asked questions about David Brodsky
Quick answers generated from the profile data available on this page.
What company does David Brodsky work for?
David Brodsky works for DoorDash.
What is David Brodsky's role at DoorDash?
David Brodsky is listed as Data Science Manager at DoorDash.
What is David Brodsky's email address?
AeroLeads has found 1 work email signal at @baruchmail.cuny.edu for David Brodsky at DoorDash.
Where is David Brodsky based?
David Brodsky is based in New York, United States while working with DoorDash.
What companies has David Brodsky worked for?
David Brodsky has worked for Doordash, Table22, Loftsmart, Squarespace, and Cornerstone Research.
How can I contact David Brodsky?
You can use AeroLeads to view verified contact signals for David Brodsky at DoorDash, including work email, phone, and LinkedIn data when available.
What schools did David Brodsky attend?
David Brodsky holds Bachelor Of Arts - Ba, Mathematics And Economics from Macaulay Honors College At The City University Of New York.
What skills is David Brodsky known for?
David Brodsky is listed with skills including Data Analysis, Economics, Statistics, Valuation, Microsoft Excel, Sas, Econometrics, and Python.
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