Tom Blake Email & Phone Number
@amazon.com
3 phones found area 408, 866, and 206
LinkedIn matched
Who is Tom Blake? Overview
A concise factual answer block for searchers comparing this professional profile.
Tom Blake is listed as Director, Core Shopping Data Science at Amazon, a with 734811 employees, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 408, 866, 206, and a matched LinkedIn profile for Tom Blake.
Tom Blake previously worked as Director, Search Data Science at Amazon and Director, Search Economics at Amazon. Tom Blake holds Phd, Masters, Economics from University Of California, Davis.
Email format at Amazon
This section adds company-level context without repeating Tom Blake's masked contact details.
AeroLeads found 3 current-domain work email signals for Tom Blake. Compare company email patterns before reaching out.
About Tom Blake
I use massive data from enormous marketplaces to deliver models for product, business insights, and academic understanding of the economics of e-commerce: marketing, pricing, search, auctions, and bargaining in the digital world.The tools of my trade are economic theory, experimentation, advanced econometrics, machine learning, and of course all the tricks/tools of harnessing petabytes of data. I've built everything from the simple policy evaluation, to more robust metric construction, complex hybrid ML and econometric models, dashboarding, and end-to-end tools for other scientists.I currently lead a small data science team in Amazon Search in Palo Alto, where we work to bring some economic principles to large scale experimentation, commonly using tools at the intersection of ML and econometrics.
Listed skills include Stata, Sql, Econometrics, Economics, and 9 others.
Tom Blake's current company
Company context helps verify the profile and gives searchers a useful next step.
Tom Blake work experience
A career timeline built from the work history available for this profile.
Director, Search Data Science
Director, Search Economics
CurrentI lead Amazon Search's data science group. We create the science and infrastructure behind metrics and experimentation that allows Amazon to build a world class search and discovery experience. We research how search results, presentation, and interface impact the way users shop, and the way sellers find buyers. That is, we are valuing the core premise of the internet's ability to reduce informational frictions (for commerce, anyway). To this work, we bring expertise in constrained optimization, causal inference, and marketplace equilibrium effects. To look around corners on how customer behavior is evolving in e-commerce, we run experiments and otherwise serve as the 'front line recon' on potential new ways for making shopping work for customers.... all at petabyte scale.
Sr. Manager For Search Economics And Data Science
Economist, Data Science Manager
CurrentA9 was created to bring world class search to Amazon's millions of customers. I came to A9 to bring an economic lens on shopping to Amazon Search.
Head Of Economics Team
Led a small band of PhD-trained economists who use economic theory and econometrics to help eBay manage a global multi-billion-dollar marketplace. We engage with teams ranging from product engineering to HR to finance, wherever there may be a problem that can benefit from thinking like an economist. Market experiments and economic models of platforms in a big data environment deliver business objectives and better market outcomes. Just a few examples of work to date:- Created new product features inspired by behavioral economics that raised conversion rates for eBay's bargaining platform (Best Offer)- Demand estimation algos for optimizing return on targeted price subsidies, to automate manual deals curation by merchants- Estimated the benefits and costs of shipping forecasts for conversion gains balanced against the derived consequences of late delivery - Created optimal taxation models, and model calibration through elasticity estimates, for platform pricing- Implemented machine learning heterogenous treatment effects modeling for targeted advertising engine- Measurement of long term consequences of platform choices using econometric models and AB tests to understand outcomes over longer horizonsWe also foster academic understanding of the economics of e-commerce through collaboration with researchers in academia and publication of original research. Many of the eBay papers in top economics journals are results of collaboration with our group.
Economist, Senior Research Scientist
As an economist and researcher at eBay, I engaged with a wide range of teams to use economics and econometrics to meet business objectives and generate economic research.Some examples of my impact:- Designed innovative experiments to measure causal (incremental) returns to marketing in areas of paid search, display, affiliates, deals promotions, and even TV. Results were used to retarget more profitable ad demographics and raise profitability.- Executed large scale cross-channel test to calibrate a Media Mix Model for optimal balancing of marketing spend- Built a multi-touch attribution system using large scale logistic regression models which can generate predicted values for tracking real-time partial contributions of internet marketing channels.- Created a machine learning econometric estimator (a propensity score estimator with a random forest first stage) for estimating the value of a rewards program- Leveraged bargaining theory to guide offers on eBay's Best Offer feature which proved to increase conversion rates- Used NLP and machine learning to mine text in negotiation communications to improve conversion success odds (see working paper on my website)- Modeled AB testing on a platform (marketplace) and created heuristics for understanding the biases caused by market interactions (see publications below)- Estimated costs of searching for items in e-commerce (see publications below)This work has informed eBay market design to achieve business objectives as well as led to publications of original research.
Senior Associate, Litigation
Provided economic damages calculations for expert testimony in the areas of intellectual property, anti-trust, consumer class action, employee class action, and fraud. Specialized skills in data analysis and statistics.
System Network Administrator (College Job)
It Support Technician (High School Job)
Colleagues at Amazon
Other employees you can reach at amazon.com. View company contacts for 734811 employees →
Jennifer Z
Colleague at AmazonChaoyang District, Beijing, China
View →
EL
Emory Long
Colleague at AmazonFredericksburg, Virginia, United States
View →
GI
Gianni Iannelli
Colleague at AmazonLeicester, England, United Kingdom
View →
SP
Sam P.
Colleague at AmazonFrankfurt, Hesse, Germany
View →
RM
Rashmi Mg Rashmi Mg
Colleague at AmazonBangalore Urban District, India
View →
GV
Gurram Venkatesh
Colleague at AmazonHyderabad, Telangana, India
View →
KR
Karthick Raj
Colleague at AmazonMadurai, Tamil Nadu, India
View →
RC
Rogel Carmona
Colleague at AmazonFairfax, Virginia, United States
View →
VT
Văn Thông Trần
Colleague at AmazonHanoi Capital Region, Viet Nam
View →
WM
Wolfgang May
Colleague at AmazonAugsburg, Bavaria, Germany
View →
Tom Blake education
Phd, Masters, Economics
Ba, Mathematics And Economics
Frequently asked questions about Tom Blake
Quick answers generated from the profile data available on this page.
What company does Tom Blake work for?
Tom Blake works for Amazon.
What is Tom Blake's role at Amazon?
Tom Blake is listed as Director, Core Shopping Data Science at Amazon.
What is Tom Blake's email address?
AeroLeads has found 3 work email signals at @amazon.com for Tom Blake at Amazon.
What is Tom Blake's phone number?
AeroLeads has found 3 phone signal(s) with area code 408, 866, 206 for Tom Blake at Amazon.
Where is Tom Blake based?
Tom Blake is based in San Francisco Bay Area, United States while working with Amazon.
What companies has Tom Blake worked for?
Tom Blake has worked for Amazon, A9.Com, Ebay, Hemming Morse, Inc., and Kashi Company.
Who are Tom Blake's colleagues at Amazon?
Tom Blake's colleagues at Amazon include Jennifer Z, Emory Long, Gianni Iannelli, Sam P., and Rashmi Mg Rashmi Mg.
How can I contact Tom Blake?
You can use AeroLeads to view verified contact signals for Tom Blake at Amazon, including work email, phone, and LinkedIn data when available.
What schools did Tom Blake attend?
Tom Blake holds Phd, Masters, Economics from University Of California, Davis.
What skills is Tom Blake known for?
Tom Blake is listed with skills including Stata, Sql, Econometrics, Economics, Data Analysis, Microsoft Excel, Policy Analysis, and Litigation Support.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial