Oct 2023 - Present
AeroLeads people directory · profile
Jared Bauman Email & Phone Number
ML & experimentation @ Whatnot
at
Whatnot
1 work email found
@doordash.com
3 phones found area 847 and 703
LinkedIn matched
✓ Verified July 2026
4 data sources
Profile completeness 100%
Current company
Role
ML & experimentation @ Whatnot
Location
San Francisco, California, United States
Who is Jared Bauman? Overview
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Quick answer
Jared Bauman is listed as ML & experimentation @ Whatnot at Whatnot, based in San Francisco, California, United States. AeroLeads shows a work email signal at doordash.com, phone signal with area code 847, 703, and a matched LinkedIn profile for Jared Bauman.
Jared Bauman previously worked as Engineering Manager at Whatnot and Senior Engineering Manager / Head of Customer Support, Fraud, & Experimentation Machine Learning at Doordash. Jared Bauman holds Ms, Industrial Engineering & Operations Research from University Of California, Berkeley.
Company email context
Email format at Whatnot
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{first}.{last}@doordash.com
86% confidence
AeroLeads found 1 current-domain work email signal for Jared Bauman. Compare company email patterns before reaching out.
Profile bio
About Jared Bauman
I'm an engineering leader & former management consultant focused on business/product strategy & ML system design. Expertise includes NLU/NLP & generative modeling with LLMs, human-in-the-loop machine learning, advanced A/B testing methods, bandit algorithms, causal inference, operations research, & analytics communication.
Listed skills include Data Analysis, Economics, Statistical Modeling, Operations Research, and 16 others.
Current workplace
Jared Bauman's current company
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9 roles
Jared Bauman work experience
A career timeline built from the work history available for this profile.
Senior Engineering Manager / Head Of Customer Support, Fraud, & Experimentation Machine Learning
• Led DoorDash's effort to build a low-latency support agent "co-pilot" using knowledge distillation• Managed development of LLMs for DoorDash's consumer & Dasher-facing chatbots• Co-led initiative to incorporate sequential testing into DoorDash's experimentation platform, significantly improving experiment velocity • Initiated migration to an event-based single source of truth for fraud model features across historical and realtime data• Led the redesign of DoorDash's software engineering level expectations, simplifying performance evaluation standards for 1,500+ engineers
Feb 2022 - Sep 2023
Senior Engineering Manager / Head Of Dasher Machine Learning
• Designed dynamic programming framework to regulate Dasher acquisition paid media spend• Led multiple efforts to make Dasher pay better scale with effort, including better delivery duration predictions & tip recommendations
Jul 2021 - Jan 2022
Engineering Manager / Head Of Dasher & Logistics Machine Learning
• Hired 9 high-performing data scientists + 1 manager in my first 18 months & led the redesign of DoorDash's ML interview process • Designed stochastic integer programming algorithm to efficiently allocate Dasher supply incentives• Improved accuracy of food prep time estimation, city/hour-level order volume & Dasher supply forecasts used for market balancing decisions• Architected a streaming algorithm to more accurately measure Dasher distance traveled from GPS pings• Co-authored paper presented at the 2020 MIT CODE causal inference conference on using ML to accelerate experimentation
Nov 2019 - Jun 2021
Research Science Manager, Marketing Machine Learning
• Led development of cost curve bandit algorithm & lead scoring model that reduced Lyft's driver acquisition paid media cost per driver hour by 30%• Drove critical investments in platform monitoring & reliability, significantly improving system uptime
Feb 2019 - Nov 2019
Expert / Engagement Manager
• Co-led building out an internal analytics unit at an auto parts distributor. Served as chief scientist, directing work for 8 data scientists & data engineers• Modeled electric vehicle queuing & electricity consumption for a nationwide charging network to optimize electricity rate arbitrage through battery charge/discharge
Oct 2018 - Feb 2019
Specialist / Associate
• Created workforce optimization model using dynamic & integer programming to optimize labor scheduling for an auto parts distributor• Developed B2B churn & price elasticity models that led to 20% reduction in churn and margin improvement on $3B revenue base
Apr 2017 - Sep 2018
Senior Analyst
• Built a demand simulator enabling a leading hotel chain’s loyalty program to institute demand-based redemption pricing to maximize program value creation
Jun 2016 - Mar 2017
Business Analyst
• Worked with clients to design efficient business experiments with a focus on small sample size learning. Built and maintained ETL pipelines to enable reliable analysis
May 2015 - Apr 2016
2 education records
Jared Bauman education
Ms, Industrial Engineering & Operations Research
University Of California, Berkeley
Ba, Economics
Princeton University
FAQ
Frequently asked questions about Jared Bauman
Quick answers generated from the profile data available on this page.
What company does Jared Bauman work for?
Jared Bauman works for Whatnot.
What is Jared Bauman's role at Whatnot?
Jared Bauman is listed as ML & experimentation @ Whatnot at Whatnot.
What is Jared Bauman's email address?
AeroLeads has found 1 work email signal at @doordash.com for Jared Bauman at Whatnot.
What is Jared Bauman's phone number?
AeroLeads has found 3 phone signal(s) with area code 847, 703 for Jared Bauman at Whatnot.
Where is Jared Bauman based?
Jared Bauman is based in San Francisco, California, United States while working with Whatnot.
What companies has Jared Bauman worked for?
Jared Bauman has worked for Whatnot, Doordash, Lyft, Mckinsey & Company, and Applied Predictive Technologies.
How can I contact Jared Bauman?
You can use AeroLeads to view verified contact signals for Jared Bauman at Whatnot, including work email, phone, and LinkedIn data when available.
What schools did Jared Bauman attend?
Jared Bauman holds Ms, Industrial Engineering & Operations Research from University Of California, Berkeley.
What skills is Jared Bauman known for?
Jared Bauman is listed with skills including Data Analysis, Economics, Statistical Modeling, Operations Research, Sql Data Engineering, A/B Test Design, Supply Chain Management, and R.
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