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Scott Carmack Email & Phone Number

Engineer III Cslt - Data Science at Verizon
Location: Dallas-Fort Worth Metroplex, United States 5 work roles 2 schools
1 work email found @multiview.com LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email s****@multiview.com
LinkedIn Profile matched
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Current company
Role
Engineer III Cslt - Data Science
Location
Dallas-Fort Worth Metroplex, United States

Who is Scott Carmack? Overview

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Quick answer

Scott Carmack is listed as Engineer III Cslt - Data Science at Verizon, based in Dallas-Fort Worth Metroplex, United States. AeroLeads shows a work email signal at multiview.com and a matched LinkedIn profile for Scott Carmack.

Scott Carmack previously worked as Data Scientist at Multiview and Data Science Consultant at Self-Employed. Scott Carmack holds Master Of Arts (M.A.), Economics from Texas Tech University.

Company email context

Email format at Verizon

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{first_initial}{last}@multiview.com
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AeroLeads found 1 current-domain work email signal for Scott Carmack. Compare company email patterns before reaching out.

Profile bio

About Scott Carmack

Hello, I'm Scott.As a data scientist, I am not just crunching numbers, I am uncovering opportunities. I bring over a decade of ML experience with a proven track record of utilizing ML to help corporations thrive, resulting in millions of dollars in incremental revenue. Whether it's predictive models, recommendation systems, or innovative AI solutions, I turn data into decisions that fuel growth and keep businesses ahead of the curve.

Listed skills include Data Mining, Statistics, Econometrics, Data Analysis, and 10 others.

Current workplace

Scott Carmack's current company

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Verizon
Verizon
Engineer III Cslt - Data Science
Texas, United States
AeroLeads page
5 roles

Scott Carmack work experience

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

Engineer Iii Cslt - Data Science

Texas, United States

Data Scientist

Current

Irving, Tx, Us

• Collaborate closely with senior management, including C-Level Executives and VPs/Directors, to ideate, formulate projects, and drive progress towards strategic goals.• Designed and implemented a Lead Scoring model for 1.3M non-OFP leads using machine learning (gradient boosting) in Python that has been utilized by 200+ sales reps. Since implementation of the model, yearly revenue from non-OFP leads has increased by $4,000,000/year.• Designed and implemented an NLP application that matches prospective customers to our product offerings based on user input. Employed Generative AI and Retrieval-Augmented Generation (RAG) techniques to analyze target audiences and deliver tailored product recommendations.• Developed and deployed a Recommendation System in Python that leverages historical sales performance data to connect Sales Reps with prospective clients from inbound sales inquiries.• Developed sales forecasts and identified trends using time-series techniques such as Generalized Additive Models (GAMs).• Lead Causal Inference/Quasi-Experimental efforts to measure the impacts of business initiatives on strategic KPIs.• Identified ineffective or damaging company policies that were losing the company an estimated $700,000 year using statistical techniques such as OLS Regression. • Contributed to a 35% reduction in delay rates for our Brief product line campaigns by identifying trends/root causes using SQL and R.

Jun 2017 - Present

Data Science Consultant

Self-Employed
Mar 2017 - Sep 2017

Data Scientist

Southlake, Texas, Us

• Designed and maintained 40+ monthly CPU forecasts for servers using a combination of time-series methodologies & qualitative input from SMEs using R and Shiny. • Estimated and evaluated the effectiveness of several marketing campaigns using non-parametric hypothesis testing methodologies in R.• Designed and generated several time-series forecasts for multiple departments utilizing techniques such as XGBoost, GBMs, and Regression in R and H20.

Aug 2015 - Feb 2017

Business Data Analyst

Lubbock, Tx, Us

• Collaborated with business leaders across multiple departments to design and implement KPIs across 200+ reports and dashboards through SQL/Tableau/SSRS.• Collaborated with several cross-departmental executives to design and implement Betenbough's first Employee Satisfaction survey, which had a response rate of 80%+, and lead to several high-impact changes to business operations across multiple departments. • Contributed to increased Market Intelligence through advanced pricing analytics. Projects include estimating price elasticities and market inflation via logistic regression in R.• Identified predictors of team health via logistic regression in R, resulting in changes to business practices.

Mar 2013 - Jul 2015
2 education records

Scott Carmack education

Master Of Arts (M.A.), Economics

Texas Tech University

Bachelor Of Science (B.S.), Economics

Texas Tech University
FAQ

Frequently asked questions about Scott Carmack

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

What company does Scott Carmack work for?

Scott Carmack works for Verizon.

What is Scott Carmack's role at Verizon?

Scott Carmack is listed as Engineer III Cslt - Data Science at Verizon.

What is Scott Carmack's email address?

AeroLeads has found 1 work email signal at @multiview.com for Scott Carmack at Verizon.

Where is Scott Carmack based?

Scott Carmack is based in Dallas-Fort Worth Metroplex, United States while working with Verizon.

What companies has Scott Carmack worked for?

Scott Carmack has worked for Verizon, Multiview, Self-Employed, Sabre Corporation, and Betenbough Homes.

How can I contact Scott Carmack?

You can use AeroLeads to view verified contact signals for Scott Carmack at Verizon, including work email, phone, and LinkedIn data when available.

What schools did Scott Carmack attend?

Scott Carmack holds Master Of Arts (M.A.), Economics from Texas Tech University.

What skills is Scott Carmack known for?

Scott Carmack is listed with skills including Data Mining, Statistics, Econometrics, Data Analysis, Regression Analysis, R, Economics, and Analysis.

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