Charlie Guthrie
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Charlie Guthrie Email & Phone Number

Data scientist looking for a causal relationship at Uber
Location: Brooklyn, New York, United States 12 work roles 2 schools
1 work email found @coursera.org 4 phones found area 203 and 212 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 4 phones

Work email c****@coursera.org
Direct phone (203) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Data scientist looking for a causal relationship
Location
Brooklyn, New York, United States

Who is Charlie Guthrie? Overview

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Quick answer

Charlie Guthrie is listed as Data scientist looking for a causal relationship at Uber, based in Brooklyn, New York, United States. AeroLeads shows a work email signal at coursera.org, phone signal with area code 203, 212, and a matched LinkedIn profile for Charlie Guthrie.

Charlie Guthrie previously worked as Data Scientist at Uber and Decision Scientist at Coursera. Charlie Guthrie holds Master Of Science (Msc), Data Science from New York University.

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Email format at Uber

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{first_initial}{last}@coursera.org
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AeroLeads found 1 current-domain work email signal for Charlie Guthrie. Compare company email patterns before reaching out.

Profile bio

About Charlie Guthrie

Data scientist, data visualization engineer, and educator. My resume is at charlieguthrie.com/files/guthrie_resume.pdf

Listed skills include Data Analysis, Analytics, Predictive Modeling, R, and 22 others.

Current workplace

Charlie Guthrie's current company

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Uber
Uber
Data scientist looking for a causal relationship
AeroLeads page
12 roles

Charlie Guthrie work experience

A career timeline built from the work history available for this profile.

Data Scientist

Current

San Francisco, California, Us

Productionized Brand Health Tracker data pipeline. The pipeline collects survey respondent data, weights according to demographic groups, and aggregates raw results into brand metrics, such awareness and preference, consumed by marketing teams globally.Introduced pair programming and code review system team-wide to reduce error, standardize code, and facilitate camaraderie & learning.

Jul 2023 - Present

Decision Scientist

Mountain View, Ca, Us

- Automated reporting to estimate ROI of TV campaigns using statistical model to predict lifetime value; team achieved 187% ROI.- Developed automation to empower email marketers to define audiences through self-serve tooling. Cut support required from data scientists in half. - With marketing teams, brought in over 300k new paying learners. - Defined company-wide key performance indicators for measuring top-of-funnel growth. - Drafted more effective new hire onboarding process. - Built holdout group for measuring email campaign performance.

Feb 2022 - Jan 2023

Senior Data Scientist

San Francisco, Ca, Us

Marketplace for online courses.- Defined metric for learning engagement, made it a company-level KPI, builtmodel to study drivers, achieved 8% increase through experimentation. Led project to expandtracking beyond video consumption to include quiz, labs, and exercises.- Led effort to establish culture of experimentation & provide tools for easieranalysis & faster iteration.- Built system for identifying and removing bots from experiment results. Upto 60% of traffic had been bots, which was blocking experiment analysis.- Won "wiki hero" award for enabling others through my contributions to the quality and coverage of documentation at Udemy.

Apr 2019 - Feb 2022

Data Scientist

- Developed accuracy measurement for Facebook’s content moderation systems, which remove porn, hate speech, etc. from 40M posts per month. - Determined appropriate metrics, sampling distribution, and headcount requirements for measuring accuracy of 15,000 content moderators.- Provided analytics to identify areas for improvement. Team was able to reduce errors by 40% in a year. - Developed model to identify ambiguous cases, which realigned team to focus on improving accuracy in more actionable, straightforward cases.

Jul 2017 - Mar 2019

Data Scientist (Part-Time Consultant)

Newark, Nj, Us

-­ Natural language processing research at leading audiobook provider.­- Clustered user comments and identified representative samples.­- Built model to extract keywords from Audible’s entire library of books to tagfor search. Experimented with automatic summarization of books.

Jan 2017 - May 2017

Student, Ms Data Science

New York, Ny, Us

Projects in deep learning, neural networks, natural language processing, and learning analytics; coursework in machine learning, inference and statistics, and cognitive science.

Sep 2014 - May 2017

Data Science Consultant / Intern

New York, Ny, Us

­- TV & digital advertising network. Used variational auto­encoding to simulate & preserve sensitive data, critical for our forecasting models.-­ Overhauled design of ad forecasting system.

Jun 2016 - Aug 2016

Data Scientist

New York, Ny, Us

Freelance project, visualizing data flow for an R/GA client.

Jun 2015 - Jul 2015

Statistician

Yleana Leadership Academy

A project for a nonprofit test-prep academy serving underprivileged youth. Designed and built an individualized student dashboard, including recommended study topics for each student based on analysis of previous assessments. (Python)

Jun 2015 - Jul 2015

Data Visualization Engineer

New York, Ny, Us

• Developed online interactive visual dashboard system used for business intelligence analytics and reporting company-wide. Replacing ad-hoc emailed reports, the dashboard provides automated, up-to-date business metrics such as total subscribers, downloads, and page views.• Created live-updating dashboard of graphics describing how people use nytimes.com, including most popular articles and referrers.• Prototyped visualization-oriented report for ad clients.• Provided ad-hoc and regular reports.

May 2013 - May 2015

Data Science Analyst

New York, Us

• Member of the Data Science team for a targeted digital advertising firm that specializes in using predictive modeling to identify new customer prospects for major online brands. • Liaised between Data Science and Account Management teams, providing testing, development and data analysis for the former, and reporting for the latter. • Managed an intern, and with his help, used the D3 JavaScript library and R to develop interactive dashboard-style charts to display recent performance of and changes to current online advertising campaigns. • Developed an automated report that uses data from previous campaigns to predict the budget we can take on for clients; it has allowed us to take on much larger budgets than we would have otherwise. • Provided Account Managers with up-to-date information about their accounts and tools for optimizing campaign performance.• Developed quality control and diagnostic tests for our ad targeting systems.• Provided company-wide seminar to educate employees on our ad bidding process.• Enrolled in self-study online course on machine learning.

Feb 2011 - Apr 2013

Marketing Analyst, Strategic Insights Group

Centreville, Va, Us

• Developed a regression model to predict annual driver mileage to sell to insurance companies and other institutional clients.• Developed predictive models to analyze market and identify best client prospects.• Periodically presented strategic insights to company directors to aid in decision-making.• Studied effectiveness of advertising and marketing efforts.• Coordinated with other departments from all over the company, in addition to outside sources, to collect and verify the integrity of data used in analysis.

Sep 2009 - Mar 2011
2 education records

Charlie Guthrie education

Master Of Science (Msc), Data Science

New York University

B.A., Mathematics

Dartmouth College
FAQ

Frequently asked questions about Charlie Guthrie

Quick answers generated from the profile data available on this page.

What company does Charlie Guthrie work for?

Charlie Guthrie works for Uber.

What is Charlie Guthrie's role at Uber?

Charlie Guthrie is listed as Data scientist looking for a causal relationship at Uber.

What is Charlie Guthrie's email address?

AeroLeads has found 1 work email signal at @coursera.org for Charlie Guthrie at Uber.

What is Charlie Guthrie's phone number?

AeroLeads has found 4 phone signal(s) with area code 203, 212 for Charlie Guthrie at Uber.

Where is Charlie Guthrie based?

Charlie Guthrie is based in Brooklyn, New York, United States while working with Uber.

What companies has Charlie Guthrie worked for?

Charlie Guthrie has worked for Uber, Coursera, Udemy, Facebook, and Audible, Inc..

How can I contact Charlie Guthrie?

You can use AeroLeads to view verified contact signals for Charlie Guthrie at Uber, including work email, phone, and LinkedIn data when available.

What schools did Charlie Guthrie attend?

Charlie Guthrie holds Master Of Science (Msc), Data Science from New York University.

What skills is Charlie Guthrie known for?

Charlie Guthrie is listed with skills including Data Analysis, Analytics, Predictive Modeling, R, Online Advertising, Analysis, Data Visualization, and Statistics.

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