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Brian Parks Email & Phone Number

ML/AI @ Gusto at Gusto
Location: Denver, Colorado, United States 6 work roles 2 schools
1 work email found @gusto.com 1 phone found area 855 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email b****@gusto.com
Direct phone (855) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
ML/AI @ Gusto
Location
Denver, Colorado, United States
Company size

Who is Brian Parks? Overview

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Quick answer

Brian Parks is listed as ML/AI @ Gusto at Gusto, a with 1 employees, based in Denver, Colorado, United States. AeroLeads shows a work email signal at gusto.com, phone signal with area code 855, and a matched LinkedIn profile for Brian Parks.

Brian Parks previously worked as Staff Data Scientist, Models and Algorithms - NLP at Gusto and Senior Data Scientist, Models and Algorithms - NLP at Gusto. Brian Parks holds Master Of Science (M.S.), Data Science from Indiana University Bloomington.

Company email context

Email format at Gusto

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

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

Profile bio

About Brian Parks

I’m a Data Scientist focused on NLP - building full stack, intelligent NLP-powered solutions to support customer experience and more

Listed skills include Machine Learning, Python, R, Sas, and 16 others.

Current workplace

Brian Parks's current company

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

Gusto
Gusto
ML/AI @ Gusto
San Francisco, California
Website
Employees
1
AeroLeads page
6 roles

Brian Parks work experience

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

Staff Data Scientist, Models And Algorithms - Nlp

Current

San Francisco, California, Us

Jun 2023 - Present

Senior Data Scientist, Models And Algorithms - Nlp

San Francisco, California, Us

Mar 2022 - Jun 2023

Data Scientist

Denver, Co, Us

Jan 2018 - Sep 2021

Data Scientist, Financial Crime Modeling

Cit

New York, Ny, Us

Optimized models used to detect money laundering and other related activity.Developed a model optimization framework using R to create a scalable and iterable optimization process.

Jan 2017 - Jan 2018

Data Analyst

Self Insured Plans
Jul 2014 - May 2015

Business Office Assistant

Fgcu Athletics
Aug 2013 - Jan 2014
Team & coworkers

Colleagues at Gusto

Other employees you can reach at gusto.com. View company contacts for 1 employees →

2 education records

Brian Parks education

Master Of Science (M.S.), Data Science

Indiana University Bloomington

Bachelor Of Science (B.S.), Finance

Florida Gulf Coast University
FAQ

Frequently asked questions about Brian Parks

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

What company does Brian Parks work for?

Brian Parks works for Gusto.

What is Brian Parks's role at Gusto?

Brian Parks is listed as ML/AI @ Gusto at Gusto.

What is Brian Parks's email address?

AeroLeads has found 1 work email signal at @gusto.com for Brian Parks at Gusto.

What is Brian Parks's phone number?

AeroLeads has found 1 phone signal(s) with area code 855 for Brian Parks at Gusto.

Where is Brian Parks based?

Brian Parks is based in Denver, Colorado, United States while working with Gusto.

What companies has Brian Parks worked for?

Brian Parks has worked for Gusto, Evolve, Cit, Self Insured Plans, and Fgcu Athletics.

Who are Brian Parks's colleagues at Gusto?

Brian Parks's colleagues at Gusto include Jeff Liggs, Jason Taylor, Kevin Fritz, Erin Fulfer, and Brent C. Johnson.

How can I contact Brian Parks?

You can use AeroLeads to view verified contact signals for Brian Parks at Gusto, including work email, phone, and LinkedIn data when available.

What schools did Brian Parks attend?

Brian Parks holds Master Of Science (M.S.), Data Science from Indiana University Bloomington.

What skills is Brian Parks known for?

Brian Parks is listed with skills including Machine Learning, Python, R, Sas, Data Analysis, Statistical Data Analysis, Microsoft Office, and Microsoft Excel.

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