Machine Learning Researcher
Current
Mar 2021 - Present
AeroLeads people directory · profile
Natalie Doss Email & Phone Number
Machine Learning Researcher at Two Sigma
at
Two Sigma
1 work email found
@twosigma.com
1 phone found area 352
LinkedIn matched
✓ Verified July 2026
4 data sources
Profile completeness 100%
Current company
Role
Machine Learning Researcher at Two Sigma
Location
New York, United States
Who is Natalie Doss? Overview
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Quick answer
Natalie Doss is listed as Machine Learning Researcher at Two Sigma at Two Sigma, based in New York, United States. AeroLeads shows a work email signal at twosigma.com, phone signal with area code 352, and a matched LinkedIn profile for Natalie Doss.
Natalie Doss previously worked as Machine Learning Researcher at Two Sigma and Ph.D. Student at Yale University, Department Of Statistics. Natalie Doss holds Doctor Of Philosophy (Ph.D.), Statistics from Yale University.
Company email context
Email format at Two Sigma
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{first}.{last}@twosigma.com
86% confidence
AeroLeads found 1 current-domain work email signal for Natalie Doss. Compare company email patterns before reaching out.
Profile bio
About Natalie Doss
Natalie Doss is a Machine Learning Researcher at Two Sigma at Two Sigma. She possess expertise in statistics, machine learning, python, research, mathematical statistics and 19 more skills. Colleagues describe her as "Natalie was a thorough, concise, and well-spoken Journalist at Bloomberg. She created an interesting, compelling, and anxiously-awaited weekly summation of the transport news of the week that was superb...and now sorely missed. She added just enough humor to make Readers eagerly anticipate each Friday's edition. She will do well in her future endeavors and career path!"
Listed skills include Statistics, Machine Learning, Python, Research, and 20 others.
Current workplace
Natalie Doss's current company
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8 roles
Natalie Doss work experience
A career timeline built from the work history available for this profile.
Ph.D. Student
Yale University, Department Of Statistics
Aug 2014 - Dec 2020
Teaching Fellow
CPSC 262: Computational Tools for Data Science (Autumn 2016)S&DS 365: Machine Learning (Spring 2017-Spring 2018)S&DS 241: Probability Theory (Autumn 2019)S&DS 123: Introduction to Data Science (Spring 2020)
Sep 2016 - May 2020
Data Science Intern
Jun 2017 - Aug 2017
Dec 2010 - Jun 2012
Intern Reporter
Sep 2010 - Nov 2010
Intern Reporter
Forbes Magazine
Jun 2010 - Aug 2010
Research Assistant
University Of Chicago Economics Department
RA for James Heckman.
Jun 2009 - Jun 2010
3 education records
Natalie Doss education
Doctor Of Philosophy (Ph.D.), Statistics
Yale University
Master Of Science (M.S.), Statistics
University Of Washington
B.S., Mathematics With Specialization In Economics
University Of Chicago
FAQ
Frequently asked questions about Natalie Doss
Quick answers generated from the profile data available on this page.
What company does Natalie Doss work for?
Natalie Doss works for Two Sigma.
What is Natalie Doss's role at Two Sigma?
Natalie Doss is listed as Machine Learning Researcher at Two Sigma at Two Sigma.
What is Natalie Doss's email address?
AeroLeads has found 1 work email signal at @twosigma.com for Natalie Doss at Two Sigma.
What is Natalie Doss's phone number?
AeroLeads has found 1 phone signal(s) with area code 352 for Natalie Doss at Two Sigma.
Where is Natalie Doss based?
Natalie Doss is based in New York, United States while working with Two Sigma.
What companies has Natalie Doss worked for?
Natalie Doss has worked for Two Sigma, Yale University, Department Of Statistics, Yale University, Google, and Bloomberg News.
How can I contact Natalie Doss?
You can use AeroLeads to view verified contact signals for Natalie Doss at Two Sigma, including work email, phone, and LinkedIn data when available.
What schools did Natalie Doss attend?
Natalie Doss holds Doctor Of Philosophy (Ph.D.), Statistics from Yale University.
What skills is Natalie Doss known for?
Natalie Doss is listed with skills including Statistics, Machine Learning, Python, Research, Mathematical Statistics, Apache Spark, Sql, and Mapreduce.
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