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Mark O'Shea Email & Phone Number

Data Scientist at Known at Known
Location: New York, New York, United States 8 work roles 1 school
1 work email found @known.is LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email m****@known.is
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Current company
Role
Data Scientist at Known
Location
New York, New York, United States

Who is Mark O'Shea? Overview

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Quick answer

Mark O'Shea is listed as Data Scientist at Known at Known, based in New York, New York, United States. AeroLeads shows a work email signal at known.is and a matched LinkedIn profile for Mark O'Shea.

Mark O'Shea previously worked as Data Scientist at Known and Senior Data Analyst at Known. Mark O'Shea holds Bachelor Of Arts - Ba, Mathematics (Computer Science & Economics Minors) from Rutgers University.

Company email context

Email format at Known

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*@known.is
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AeroLeads found 1 current-domain work email signal for Mark O'Shea. Compare company email patterns before reaching out.

Profile bio

About Mark O'Shea

Experienced Data Scientist with a demonstrated history of working in politics and media. Skilled in Big Data Analytics using R, SQL, Python, Spark, Microsoft Office Suite, Fundraising Analytics, and Media Measurement. Analytics professional with a Bachelor’s Degree in Mathematics and minors in Computer Science & Economics from Rutgers University.

Listed skills include Public Speaking, Microsoft Excel, Data Analysis, Powerpoint, and 6 others.

Current workplace

Mark O'Shea's current company

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Known
Known
Data Scientist at Known
AeroLeads page
8 roles

Mark O'Shea work experience

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

Data Scientist

Current

Manhattan, New York, US

Apr 2024 - Present

Senior Data Analyst

Manhattan, New York, US

  • Spearheading client marketing campaigns: leading weekly reporting calls, identifying and implementing KPI optimizations, driving high client satisfaction
  • Built and currently maintain sophisticated models for delivering stronger campaign performance, increasing Return On Ad Spend by 25% against a control (Python: Pandas, Numpy)
  • Coding automated deliverables and QA pipelines from scratch, significantly reducing two large timesinks for analysts while simultaneously cutting down on human error (Python, SQL)
  • Performed analytical deep dives on advertising fatigue, supply path optimization, and attribute efficiency, incorporating findings into team best practices (Python, SQL)
Dec 2021 - Apr 2024

Data Analyst

605

New York, New York, US

  • Created sophisticated TV, digital, and direct mail campaigns reaching millions of households using Spark, R & SQL, with built-in experiments to inform future campaigns, leveraging tens of billions of rows of data
  • Owned client relationships, creating illustrative decks and communicating complicated technical findings weekly
  • Led multi-team, cross-functional projects: external (client deliverables) and internal (product development)
  • Performed pioneering statistical analysis of TV campaign effects, directly measuring KPIs for the first time
  • Automated deliverable processes, reducing analyst time from 160 hours/project to 5 hours/project
  • Supervised 3 analytics interns, guiding their completion of client deliverables and developing their technical skills
Nov 2020 - Dec 2021

Fundraising Analytics Lead

Cory 2020
  • Raised hundreds of thousands of dollars in incremental revenue by identifying thousands of high-value prospective donors through API ingestion and SQL analysis of Cory Booker donation history, modeled donor scores, and.
  • Created daily grassroots and high-dollar fundraising reports for Senator Booker and senior staff
  • Developed scalable ROI-positive direct mail fundraising campaigns targeting high-value former donors and modeled prospects, generating tens of thousands of dollars in profit while expanding our direct mail base
Aug 2019 - Jan 2020

Business Analyst

605

New York, New York, US

Feb 2019 - Aug 2019

Junior Business Analyst

605

New York, New York, US

Sep 2017 - Jan 2019

Regional Data Lead

  • Managed a voter contact database (VAN) to facilitate field organizing for 15 field offices and 72 organizers in central PA; created tools to more efficiently align organizer phone calls with the highest-impact targets
  • Ran a 2,000,000 call Get Out The Vote push: determining both the logic and prioritization of our universe of targets and the logistics of distributing call sheets to staging locations across the state
Aug 2016 - Nov 2016

Peer Instructor

New Brunswick, NJ, US

  • Taught weekly hour-long recitation sections for 10 Introduction to Computer Science students
  • Graded projects and conducted code reviews
Aug 2013 - Dec 2013
1 education record

Mark O'Shea education

  • Rutgers University
    Rutgers University
    Mathematics (Computer Science & Economics Minors)
FAQ

Frequently asked questions about Mark O'Shea

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

What company does Mark O'Shea work for?

Mark O'Shea works for Known.

What is Mark O'Shea's role at Known?

Mark O'Shea is listed as Data Scientist at Known at Known.

What is Mark O'Shea's email address?

AeroLeads has found 1 work email signal at @known.is for Mark O'Shea at Known.

Where is Mark O'Shea based?

Mark O'Shea is based in New York, New York, United States while working with Known.

What companies has Mark O'Shea worked for?

Mark O'Shea has worked for Known, 605, Cory 2020, Hillary For America, and Rutgers University.

How can I contact Mark O'Shea?

You can use AeroLeads to view verified contact signals for Mark O'Shea at Known, including work email, phone, and LinkedIn data when available.

What schools did Mark O'Shea attend?

Mark O'Shea holds Bachelor Of Arts - Ba, Mathematics (Computer Science & Economics Minors) from Rutgers University.

What skills is Mark O'Shea known for?

Mark O'Shea is listed with skills including Public Speaking, Microsoft Excel, Data Analysis, Powerpoint, Social Media, Research, Customer Service, and Leadership.

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