Ryan Carr
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Ryan Carr Email & Phone Number

Building systems to deliver AI and Predictive Models on large scale data at SAS
Location: Apex, North Carolina, United States 1 work role 4 schools
1 work email found @sas.com 5 phones found area 909, 951, 919, and 229 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 5 phones

Work email r****@sas.com
Direct phone (909) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
SAS
Role
Building systems to deliver AI and Predictive Models on large scale data
Location
Apex, North Carolina, United States
Company size

Who is Ryan Carr? Overview

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Quick answer

Ryan Carr is listed as Building systems to deliver AI and Predictive Models on large scale data at SAS, a company with 24856 employees, based in Apex, North Carolina, United States. AeroLeads shows a work email signal at sas.com, phone signal with area code 909, 951, 919, 229, and a matched LinkedIn profile for Ryan Carr.

Ryan Carr previously worked as Distinguished Data Scientist at Sas. Ryan Carr holds Data Science, 3.9 / 4 from Harvard Extension School.

Company email context

Email format at SAS

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{first}.{last}@sas.com
89% confidence

AeroLeads found 1 current-domain work email signal for Ryan Carr. Compare company email patterns before reaching out.

Profile bio

About Ryan Carr

I have worked in various fields combining creative problem solving skills, machine learning, data analysis, and statistical methods to answer questions.My experience covers image and pattern recognition, CRM, Survival Analysis, Price Promotion modeling, Forecasting, AB Testing, Uplift Modeling, Text analytics, Marketing Research, Healthcare Utilization, Clinical Trials, Quality Control, Salesforce Automation and Materials Management Plant Scheduling.Specialties: Statistical analysis, Data Mining, machine learning and deep learning with neural networks on large datasets (> 1,000,000,000 records)

Listed skills include Analytics, Sas, Data Mining, Predictive Modeling, and 49 others.

Current workplace

Ryan Carr's current company

Company context helps verify the profile and gives searchers a useful next step.

SAS
Sas
Building systems to deliver AI and Predictive Models on large scale data
cary, north carolina, united states
Website
Employees
24856
AeroLeads page
1 role

Ryan Carr work experience

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

  • Sas
    Distinguished Data Scientist
    Sas
    Jan 2024 - Present - Cary, North Carolina, United States
    Developing Artificial Intelligence and Modeling software
Team & coworkers

Colleagues at SAS

Other employees you can reach at sas.com. View company contacts for 24856 employees →

4 education records

Ryan Carr education

FAQ

Frequently asked questions about Ryan Carr

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

What company does Ryan Carr work for?

Ryan Carr works for SAS.

What is Ryan Carr's role at SAS?

Ryan Carr is listed as Building systems to deliver AI and Predictive Models on large scale data at SAS.

What is Ryan Carr's email address?

AeroLeads has found 1 work email signal at @sas.com for Ryan Carr at SAS.

What is Ryan Carr's phone number?

AeroLeads has found 5 phone signal(s) with area code 909, 951, 919, 229 for Ryan Carr at SAS.

Where is Ryan Carr based?

Ryan Carr is based in Apex, North Carolina, United States while working with SAS.

What companies has Ryan Carr worked for?

Ryan Carr has worked for Sas.

Who are Ryan Carr's colleagues at SAS?

Ryan Carr's colleagues at SAS include Katie Bright, Ad S, Alejando Gomez, Rob Saccoccio, and Jeff Hawes.

How can I contact Ryan Carr?

You can use AeroLeads to view verified contact signals for Ryan Carr at SAS, including work email, phone, and LinkedIn data when available.

What schools did Ryan Carr attend?

Ryan Carr holds Data Science, 3.9 / 4 from Harvard Extension School.

What skills is Ryan Carr known for?

Ryan Carr is listed with skills including Analytics, Sas, Data Mining, Predictive Modeling, Statistical Modeling, Data Analysis, Crm, and Customer Insight.

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