Paul Wyatt
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Paul Wyatt Email & Phone Number

Staff Data Scientist at Courtyard.io
Location: San Francisco, California, United States 12 work roles 2 schools
2 phones found area 301 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 2 phones

Direct phone (301) ***-****
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Current company
Role
Staff Data Scientist
Location
San Francisco, California, United States

Who is Paul Wyatt? Overview

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Quick answer

Paul Wyatt is listed as Staff Data Scientist at Courtyard.io, based in San Francisco, California, United States. AeroLeads shows phone signal with area code 301 and a matched LinkedIn profile for Paul Wyatt.

Paul Wyatt previously worked as Staff Data Scientist at Course Hero and Manager, Talent Data Science at Cameo. Paul Wyatt holds Bachelor'S Degree, Physics from University Of Chicago.

Company email context

Email format at Courtyard.io

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Courtyard.io

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Profile bio

About Paul Wyatt

Data Scientist / ML Engineer who's done a bit of almost everything across a wide variety of industries.Although I've run the gamut from business analysis to neural net training to running cloud ML infrastructure and deploying microservices, my biggest passions are finding the simplest possible solution to a business problem, building robust and reusable data tools, and mentoring junior team members.

Listed skills include Data Analysis, Public Speaking, R, Statistics, and 13 others.

Current workplace

Paul Wyatt's current company

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Courtyard.io
Courtyard.Io
Staff Data Scientist
San Francisco, CA, US
AeroLeads page
12 roles

Paul Wyatt work experience

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

Staff Data Scientist

Current

Redwood City, California, Us

Sep 2023 - Present

Manager, Talent Data Science

Chicago, Illinois, Us

I ran the data team tasked with understanding Cameo talent marketplace and helping talent succeed. Work entailed: - Understanding markers of success on platform - Understanding what touchpoints from talent relations help talent succeed - Tracking metrics for talent performance - Perfecting pricing for Cameo talent - Forecasting talent performance

Dec 2021 - Oct 2022

Sr. Machine Learning Engineer

Denver, Co, Us

As an engineer on Virta's Applied AI team I built production systems to help our patients succeed with the Virta treatment and reverse their diabetes.Duties included:- Building recommender systems- Churn prediction- Deploying production pipelines- Managing our cloud ML platform

Jan 2020 - Nov 2021

Data Science Mentor

San Francisco, California, Us

I mentor aspiring data scientists in the Springboard Data Science Career track. I support them through a curriculum covering visualization and descriptive, inferential, and predictive statistics using Python, SQL, and D3. I also assist with developing ideas for and executing capstone projects to showcase their skills.

Oct 2017 - Oct 2019

Lead Data Scientist

San Francisco, Ca, Us

I led a small team of Analysts and Data Engineers to tackle all of Twine's data challenges: Building pipelines to take data from API to databaseDeveloping company KPIs and designing dashboards to track themImplementing machine learning to better serve Twine's customersAssuring data quality and accuracy

Apr 2018 - Sep 2019

Senior Associate Data Scientist

Sunnyvale, Ca, Us

As the data scientist leading analytics for commerce, I built analytical tools, perform in-depth analyses, and maintain reporting infrastructure for billing and checkouts at LinkedInHighlights:Redesigning tracking and reporting on the checkout page to better understand the acquisition funnelSupporting AB test to optimize checkout UX and billing recovery effortsTimeseries modeling for anomaly detection on transactions

Jan 2017 - Apr 2018

Thru Hiker

Campo, California, Us

I walked the Pacific Crest Trail from Mexico to Canada. 2,650 miles of pure beauty and one of the hardest things I have ever done.

Apr 2016 - Sep 2016

Senior Applied Data Scientist

Chicago, Il, Us

I led teams of Data Scientists in the execution of analytic projects for Civis’ clients, developed internal tools to streamline and expand the scope of our work, and trained staff members and clients in analytic tools and techniques.Projects ranged from exploratory data analyses to determine the range of uses for available data to predictive modeling on billion-row datasets and execution of rigorous controlled trials. Work covers the entire data science cycle from ingestion and cleaning of messy datasets to creating pipelines of incoming data, designing dashboards to help clients make decisions, and developing production predictive models to serve information and make recommendations.Tool development covered the creation of R packages as well as best-practice white papers and python scripts to expand and accelerate the capabilities of Civis’ Applied Data Science team.My primary tools were R, SQL, and Python alongside Civis' data science platform. Work also included a smattering of Excel, Tableau, and big data tools such as vowpal wabbit.

Feb 2014 - Apr 2016

Statistical Analyst

Chicago, Illinois, Us

Developing growth strategy for companies across a number of industries. Basic responsibilities include data analysis, predictive algorithm development, statistical clustering for consumer segmentation, econometric modeling, market research, and strategy development.At work I take data, turn it into insight, and then develop presentations to guide internal strategy discussions and present recommendations to clients.

Aug 2012 - Feb 2014

Business Analyst Intern

Chicago, Illinois, Us

Spent summer developing retail strategy for major beer manufacturer. Responsibilities included conducting secondary research on beer retail, and analyzing primary research data to find major points of consumer preference that could be leveraged to increase sales. Developed slides for internal presentation and client meetings detailing the results of my findings.

Jun 2011 - Aug 2011

Research Intern

Santiago, Cl

Worked in the Matter Out of Equilibrium lab studying Andersen Localization effects in gravity waves passing through periodic and randomized changes in index of refraction. Responsibilities included wavetank design and construction, data acquisition with LabView and analysis using MATLAB. Summer concluded with a presentation sharing evidence of Andersen Localization to professors and laboratory staff.

Jun 2010 - Sep 2010
2 education records

Paul Wyatt education

Bachelor'S Degree, Physics

University Of Chicago

Education record

Whitman College
FAQ

Frequently asked questions about Paul Wyatt

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

What company does Paul Wyatt work for?

Paul Wyatt works for Courtyard.io.

What is Paul Wyatt's role at Courtyard.io?

Paul Wyatt is listed as Staff Data Scientist at Courtyard.io.

What is Paul Wyatt's phone number?

AeroLeads has found 2 phone signal(s) with area code 301 for Paul Wyatt at Courtyard.io.

Where is Paul Wyatt based?

Paul Wyatt is based in San Francisco, California, United States while working with Courtyard.io.

What companies has Paul Wyatt worked for?

Paul Wyatt has worked for Courtyard.Io, Course Hero, Cameo, Virta Health, and Springboard.

How can I contact Paul Wyatt?

You can use AeroLeads to view verified contact signals for Paul Wyatt at Courtyard.io, including work email, phone, and LinkedIn data when available.

What schools did Paul Wyatt attend?

Paul Wyatt holds Bachelor'S Degree, Physics from University Of Chicago.

What skills is Paul Wyatt known for?

Paul Wyatt is listed with skills including Data Analysis, Public Speaking, R, Statistics, Research, Quantitative Analytics, Management Consulting, and Market Research.

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