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Tom Breider Email & Phone Number

Principal Data Scientist at The RepTrak Company
Location: Greater Boston, United States, United States 5 work roles 3 schools
1 work email found @reptrak.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email t****@reptrak.com
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Current company
Role
Principal Data Scientist
Location
Greater Boston, United States, United States
Company size

Who is Tom Breider? Overview

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Quick answer

Tom Breider is listed as Principal Data Scientist at The RepTrak Company, a company with 276 employees, based in Greater Boston, United States, United States. AeroLeads shows a work email signal at reptrak.com and a matched LinkedIn profile for Tom Breider.

Tom Breider previously worked as Senior Data Scientist at The Reptrak Company and Data Scientist at The Reptrak Company. Tom Breider holds Doctor Of Philosophy - Phd, Environmental Science from University Of Leeds.

Company email context

Email format at The RepTrak Company

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{first_initial}{last}@reptrak.com
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AeroLeads found 1 current-domain work email signal for Tom Breider. Compare company email patterns before reaching out.

Profile bio

About Tom Breider

Data scientist, scientific programmer and atmospheric modeler. Experienced Python, R, SQL, FORTRAN, IDL and SPSS programmer for machine learning and modeling of environmental and quantitative research data. Developer of atmospheric transport models & diagnostic tools.

Listed skills include Climate Change, Data Analysis, Research, Climate, and 32 others.

Current workplace

Tom Breider's current company

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The RepTrak Company
The Reptrak Company
Principal Data Scientist
boston, massachusetts, united states
Website
Employees
276
AeroLeads page
5 roles · 15 years

Tom Breider work experience

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

Principal Data Scientist

Current

Boston, Massachusetts, United States

Sep 2021 - Present

Senior Data Scientist

Boston, Massachusetts, United States

Developed machine learning models for understanding ESG (Environment, Social and Governance) perecption using supervised and unsupervised machine learning classification and regression.Served as data science project lead for several large client projects.Automation and productization of data modeling and reporting.Development of predictive modeling.

Jan 2020 - Sep 2021

Data Scientist

Boston, MA

Accelerated data processing and reporting by 70% during a high revenue growth period. This was achieved through standardization of data collection and processing scripts across projects and by developing python code to automate SPSS output.Implemented python scripts to accelerate the SPSS output enabling data insights to happen faster and reducing the time.

Feb 2017 - Dec 2019

Research Associate

Cambridge, MA

  • Atmospheric pollution modeling in the Arctic.
  • Implemented Python and IDL scripts to read, visualize and perform statistical analysis of three decades of pollution data from over 400 monitoring stations to quantify long-term trends.
  • Automated data processing with scripting in bash and perl to eliminate repetitive manual tasks and to accelerate project workflow.
  • Programming Skills- R, IDL, Python, FORTRAN. Developed web scraping scripts in R and Python, FORTRAN compiler debugging tools.
  • Quantified observed long term trends in particulate pollution in the Arctic. Developed a atmospheric transport model to understand observed pollution trends and to quantify the temperature response.
  • Two first author publications in high impact journals.
2011 - 2017 ~6 yrs

Research Fellow

Leeds, United Kingdom

  • Delivered a project to couple two independent global models of atmospheric chemistry and particulates. Implemented new sources, sinks and chemistry to enable new understanding of atmospheric composition.
  • Implemented diagnostics to enable quantitative understanding of processes driving model output.
  • Programming skills - FORTRAN, IDL.
  • Presented research at international science conferences. Two first author publications in a peer reviewed journals.
Oct 2010 - Mar 2011
Team & coworkers

Colleagues at The RepTrak Company

Other employees you can reach at reptrak.com. View company contacts for 276 employees →

3 education records

Tom Breider education

Doctor Of Philosophy - Phd, Environmental Science

• Extended the chemical mechanism in a chemical transport model to include halogen chemistry including chemical reactions, sources and.

Bsc, Atmospheric Science And Meteorology

Atmospheric Science and Meteorology

High School

Swanwick Hall School, Derbyshire

A-Levels in Mathematics, Physics and Geography.

FAQ

Frequently asked questions about Tom Breider

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

What company does Tom Breider work for?

Tom Breider works for The RepTrak Company.

What is Tom Breider's role at The RepTrak Company?

Tom Breider is listed as Principal Data Scientist at The RepTrak Company.

What is Tom Breider's email address?

AeroLeads has found 1 work email signal at @reptrak.com for Tom Breider at The RepTrak Company.

Where is Tom Breider based?

Tom Breider is based in Greater Boston, United States, United States while working with The RepTrak Company.

What companies has Tom Breider worked for?

Tom Breider has worked for The Reptrak Company, Harvard University, and University Of Leeds.

Who are Tom Breider's colleagues at The RepTrak Company?

Tom Breider's colleagues at The RepTrak Company include Agnieszka Jarzabek, Nathália Braga, Joanna Dominguez, Matheus Nogueira, and Hannah Merritt.

How can I contact Tom Breider?

You can use AeroLeads to view verified contact signals for Tom Breider at The RepTrak Company, including work email, phone, and LinkedIn data when available.

What schools did Tom Breider attend?

Tom Breider holds Doctor Of Philosophy - Phd, Environmental Science from University Of Leeds.

What skills is Tom Breider known for?

Tom Breider is listed with skills including Climate Change, Data Analysis, Research, Climate, Science, Fortran, Scientific Computing, and Chemistry.

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