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Luis C. Vargas, Phd Email & Phone Number

Data Scientist with 7 years of combined industry experience across Analytics, Machine Learning, Experimentation and Data Engineering at Squarespace
Location: New York, New York, United States 8 work roles 3 schools
1 work email found @squarespace.com 4 phones found area 917, 646, and 800 LinkedIn matched
4 data sources Profile completeness 100%

Contact Signals · 1 work email · 4 phones

Work email l****@squarespace.com
Direct phone (917) ***-****
LinkedIn Profile matched
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Current company
Squarespace
Role
Data Scientist with 7 years of combined industry experience across Analytics, Machine Learning, Experimentation and Data Engineering
Location
New York, New York, United States
Company size
501 employees

Who is Luis C. Vargas, Phd? Overview

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Quick answer

Luis C. Vargas, Phd is listed as Data Scientist with 7 years of combined industry experience across Analytics, Machine Learning, Experimentation and Data Engineering at Squarespace, a company with 501 employees, based in New York, New York, United States. AeroLeads shows a work email signal at squarespace.com, phone signal with area code 917, 646, 800, and a matched LinkedIn profile for Luis C. Vargas, Phd.

Luis C. Vargas, Phd previously worked as Senior Data Scientist II at Squarespace and Senior Data Scientist at Squarespace. Luis C. Vargas, Phd holds Doctor Of Philosophy (Ph.D.), Astrophysics from Yale University.

Company email context

Email format at Squarespace

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*@squarespace.com
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AeroLeads found 1 current-domain work email signal for Luis C. Vargas, Phd. Compare company email patterns before reaching out.

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Profile bio

About Luis C. Vargas, Phd

I am an applied data scientist with a strong background in machine learning and data analytics. I have experience working on challenges in consumer finance, e-commerce, and cybersecurity. My interest and early experience in solving problems with data arose from my years conducting astrophysics research. I enjoy working in collaborative and applied environments, and am constantly striving to learn new analysis approaches, programming languages and technologies.

Listed skills include Data Analysis, Python, Latex, Statistics, and 19 others.

Current workplace

Luis C. Vargas, Phd's current company

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Squarespace
Squarespace
Data Scientist with 7 years of combined industry experience across Analytics, Machine Learning, Experimentation and Data Engineering
225 Varick Street, 12th Floor, New York, NY 10014, us
Website
squarespace.com
Employees
501
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8 roles

Luis C. Vargas, Phd work experience

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

Senior Data Scientist Ii

Current
Squarespace

New York, NY, US

Sep 2023 - Present

Senior Data Scientist

Squarespace

New York, NY, US

May 2019 - Sep 2023

Data Scientist - Digital Intelligence

Jpmorgan Chase & Co.

New York, NY, US

Built models for identification of time series patterns using Spark and Scala; responsible end-to-end for data aspects of multiple personalization use cases for marketing and in-product experience.

Jan 2018 - May 2019

Senior Data Scientist (Lead)

Securityscorecard

New York, New York, US

Developed cyber attack prediction and classification models; built data visualization dashboards; and informed product decisions with data analytics.

Sep 2015 - Jan 2018

Data Science Fellow

Insight Data Science

San Francisco, CA, US

Within a four week period, I developed underServed (http://www.underservedlocal.com/), a tool that identifies areas in NYC with high potential for opening a new restaurant. I used various APIs to extract a wide range of features. Building on these features, I fit supervised learning and outlier detection models to the city-wide data, using the Python data.

Jun 2015 - Sep 2015

Phd Researcher (Nsf Graduate Fellowship)

Yale University

New Haven, CT, US

My research focused on understanding the life cycle of nearby dwarf (very small) galaxies and led to 3 first-author peer-reviewed publications.From a data perspective, I specialized in fitting model-based parameters to noisy datasets comprised of pixel light intensities for each of 3K+ stars. I used a combination of Maximum Likelihood Estimation, Monte.

Aug 2009 - May 2015

Nsf/Jsps Research Fellow

National Astronomical Observatory Of Japan

Mitaka, Tokyo, JP

Led and executed research proposal and subsequent research program using Subaru Telescope (Hawaii); wrote analysis tools to constrain best stellar parameters using maximum likelihood optimization.

Jun 2010 - Aug 2010

Undergraduate Research Assistant

University Of Kansas

Lawrence, KS, US

Studied the variation of stellar flux ratios in the Stromgren filter system as a function of the parameters of the observed stars, leading to an improved calibration that improved the accuracy in photometrically-derived "metallicity" (chemical composition of a star).

Aug 2003 - May 2008
Team & coworkers

Colleagues at Squarespace

Other employees you can reach at squarespace.com. View company contacts for 501 employees →

MM Megan Mcgoldrick Megan Mcgoldrick Colleague at Squarespace New York City Metropolitan Area, United States, United States View → MB Marlon Brillantes Marlon Brillantes Colleague at Squarespace New York City Metropolitan Area, United States View → AK Arefin Khan Arefin Khan Colleague at Squarespace Dhaka, Dhaka, Bangladesh, Bangladesh View → JC Janice C. Janice C. Colleague at Squarespace New York, New York, United States, United States View → KS Kevin Saucedo Kevin Saucedo Colleague at Squarespace Austin, Texas, United States, United States View → CZ Catherine Zhou Catherine Zhou Colleague at Squarespace United States, United States View → KH Kevin Hoang Kevin Hoang Colleague at Squarespace New York, New York, United States, United States View → MC Marguerite C. Marguerite C. Colleague at Squarespace New York, New York, United States, United States View → VL Victoria L. Victoria L. Colleague at Squarespace Portland, Oregon, United States, United States View → ED Elizabeth Dyson Elizabeth Dyson Colleague at Squarespace Bothell, Washington, United States, United States View →
3 education records

Luis C. Vargas, Phd education

Doctor Of Philosophy (Ph.D.), Astrophysics

Yale University

Bachelor’S Degree, Physics & Astronomy

The University Of Kansas

Certificate Of Participation, Japanese Language And Literature

Nanzan University
FAQ

Frequently asked questions about Luis C. Vargas, Phd

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

What company does Luis C. Vargas, Phd work for?

Luis C. Vargas, Phd works for Squarespace.

What is Luis C. Vargas, Phd's role at Squarespace?

Luis C. Vargas, Phd is listed as Data Scientist with 7 years of combined industry experience across Analytics, Machine Learning, Experimentation and Data Engineering at Squarespace.

What is Luis C. Vargas, Phd's email address?

AeroLeads has found 1 work email signal at @squarespace.com for Luis C. Vargas, Phd at Squarespace.

What is Luis C. Vargas, Phd's phone number?

AeroLeads has found 4 phone signal(s) with area code 917, 646, 800 for Luis C. Vargas, Phd at Squarespace.

Where is Luis C. Vargas, Phd based?

Luis C. Vargas, Phd is based in New York, New York, United States while working with Squarespace.

What companies has Luis C. Vargas, Phd worked for?

Luis C. Vargas, Phd has worked for Squarespace, Jpmorgan Chase & Co., Securityscorecard, Insight Data Science, and Yale University.

Who are Luis C. Vargas, Phd's colleagues at Squarespace?

Luis C. Vargas, Phd's colleagues at Squarespace include Megan Mcgoldrick, Marlon Brillantes, Arefin Khan, Janice C., and Kevin Saucedo.

How can I contact Luis C. Vargas, Phd?

You can use AeroLeads to view verified contact signals for Luis C. Vargas, Phd at Squarespace, including work email, phone, and LinkedIn data when available.

What schools did Luis C. Vargas, Phd attend?

Luis C. Vargas, Phd holds Doctor Of Philosophy (Ph.D.), Astrophysics from Yale University.

What skills is Luis C. Vargas, Phd known for?

Luis C. Vargas, Phd is listed with skills including Data Analysis, Python, Latex, Statistics, Research, Astrophysics, Physics, and Scientific Computing.

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