Science Lead, Pricing Optimization
CurrentUsing science to delight customers by setting great prices across the Amazon marketplace.
May 2024 - Present
AeroLeads people directory · profile
Will Gans Email & Phone Number
Applied Data Science Leader
at
Amazon
1 work email found
@amazon.com
1 phone found area 206
LinkedIn matched
✓ Verified May 2026
4 data sources
Profile completeness 100%
Who is Will Gans? Overview
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Quick answer
Will Gans is listed as Applied Data Science Leader at Amazon, based in Seattle, Washington, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 206, and a matched LinkedIn profile for Will Gans.
Will Gans previously worked as Science Lead, Pricing Optimization at Amazon and Sr Mgr Research Science, Sustainability at Amazon. Will Gans holds M.S., Mechanical Engineering from University Of California, Berkeley.
Company email context
Email format at Amazon
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{first}{last}@amazon.com
86% confidence
AeroLeads found 1 current-domain work email signal for Will Gans. Compare company email patterns before reaching out.
Profile bio
About Will Gans
I am a data and science leader focused on business optimization. With 18 years of experience in sustainability, data science, and consulting, I have achieved significant impact, building high-performing teams that execute, driving revenue growth, launching new AI products, and optimizing an advertising portfolio, while leading strategy and product across 3 different retail domains.
Listed skills include Data Analysis, Economics, Statistics, Econometrics, and 24 others.
Current workplace
Will Gans's current company
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9 roles
Will Gans work experience
A career timeline built from the work history available for this profile.
Sr Mgr Research Science, Sustainability
Leading a team of researchers, computer scientists, data engineers and business intelligence engineers to shape and optimize Amazon's sustainable future.
Sep 2020 - Jun 2024
Sr Mgr Research Science
Science and Product lead for an internal AI Incubator that focused on delivering automated decision systems at Amazon scale.
Oct 2018 - Sep 2020
Manager, Shopping Data Science
Lead of the ‘Buy Box’ science team - vending product recommendations on Amazon hero shopping widget.
Apr 2015 - Oct 2018
Sep 2013 - Apr 2015
Consultant
Economic consultant on energy and environmental policy for fortune 100 clients.
Jun 2012 - Sep 2013
Doctoral Student
PhD: "The Role of Prices and Information in Residential Energy Consumption and Investment Behavior"
Aug 2006 - Jun 2012
Regional Assistant Director
Sep 2005 - Sep 2006
Consulting Engineer
Exponent Failure Analysis Associates
Sep 2003 - Aug 2005
4 education records
Will Gans education
M.S., Mechanical Engineering
University Of California, Berkeley
Ph.D., Economics
University Of Maryland
M.S., Economics
University Of Maryland
B.S., Mechanical Engineering / Materials Science
University Of California, Berkeley
FAQ
Frequently asked questions about Will Gans
Quick answers generated from the profile data available on this page.
What company does Will Gans work for?
Will Gans works for Amazon.
What is Will Gans's role at Amazon?
Will Gans is listed as Applied Data Science Leader at Amazon.
What is Will Gans's email address?
AeroLeads has found 1 work email signal at @amazon.com for Will Gans at Amazon.
What is Will Gans's phone number?
AeroLeads has found 1 phone signal(s) with area code 206 for Will Gans at Amazon.
Where is Will Gans based?
Will Gans is based in Seattle, Washington, United States while working with Amazon.
What companies has Will Gans worked for?
Will Gans has worked for Amazon, Nera Economic Consulting, University Of Maryland, U.S. Department Of Energy (Doe), and Exponent Failure Analysis Associates.
How can I contact Will Gans?
You can use AeroLeads to view verified contact signals for Will Gans at Amazon, including work email, phone, and LinkedIn data when available.
What schools did Will Gans attend?
Will Gans holds M.S., Mechanical Engineering from University Of California, Berkeley.
What skills is Will Gans known for?
Will Gans is listed with skills including Data Analysis, Economics, Statistics, Econometrics, Stata, Policy Analysis, Engineering Management, and R.
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