Ruben Padron

Ruben Padron Email and Phone Number

Chief Data Officer at Figure @ Figure
Ruben Padron's Location
San Francisco Bay Area, United States, United States
Ruben Padron's Contact Details
About Ruben Padron

Specialties: AI, LLM, data science, machine learning, data visualization, statistical modeling, optimization, A/B testing

Ruben Padron's Current Company Details
Figure

Figure

View
Chief Data Officer at Figure
Ruben Padron Work Experience Details
  • Figure
    Chief Data Officer
    Figure Apr 2020 - Present
    New York City, New York, Us
    As part of the founding team, I leverage AI, data science, and analytics to derive significant strategic and operational advantages for Figure.
  • Figure
    Sabbatical
    Figure Jun 2019 - Apr 2020
    New York City, New York, Us
  • Figure
    Chief Data Officer
    Figure Jan 2018 - Jun 2019
    New York City, New York, Us
  • Sofi
    Senior Vice President, Data Science And Analytics
    Sofi Feb 2017 - Jan 2018
    San Francisco, California, Us
    Built out Data Science organization and led the deployment of machine learning and AI frameworks resulting in significant improvements to key company initiatives: prospecting, pricing, and risk/underwriting.
  • Padron Analytics
    Founder
    Padron Analytics Jan 2013 - Feb 2017
    With expertise in both analytics and data science, I help businesses mine, interpret, and take action based on insights derived from vast amounts of data. I specialize in building out data solutions that guide and optimize product strategy, including process optimization, user segmentation, lifetime value predictive modeling, and funnel optimization. List of clients includes online publishing platforms, biotech and fintech firms, mobile device manufacturer, as well as online and mobile ad networks.
  • Metaresolver
    Board Of Advisors
    Metaresolver Jan 2013 - Mar 2013
  • Metaresolver
    Vp, Analytics
    Metaresolver May 2012 - Jan 2013
    Acquired by Millennial MediaPart of the founding team. Developed large-scale ad optimization modeling infrastructure used to bid and acquire mobile ad inventory on real-time bidding (RTB) platforms. Built models centered on identifying specific advertising campaign attributes (location, publisher, time of day, device attributes, derived user profiles) to pinpoint predicted performance as well as optimal bidding strategy.
  • Saymedia
    Director Of Analytics
    Saymedia Sep 2010 - May 2012
    Built Analytics team focused on partnering with internal business units to deliver data founded guidance for key operational and strategic opportunities. Developed methodologies and reporting infrastructures for measuring and optimizing online ad products and publisher performance. Developed framework used to measure and optimize Say Media’s web properties, highlighting key areas of focus including traffic growth, user engagement, and monetization potential.
  • Gaia Online
    Director Of Analytics
    Gaia Online Sep 2008 - Sep 2010
    San Jose, California, Us
    Responsible for all Gaia online gaming metrics and user analytics, with focus on testing and in-depth understanding of user behavior to shape game design, product strategy, monetization, growth and retention opportunities.
  • Yahoo!
    Search Data Analytics
    Yahoo! Oct 2006 - May 2008
    Sunnyvale, Ca, Us
    Developed methodology and analytics designed pinpoint search relevance and content optimization opportunities, defining sales and marketing strategies for Yahoo! Paid Search Submit program.
  • Nielsen Netratings
    Director, Research And Analysis
    Nielsen Netratings Nov 1999 - Oct 2006
    Led organization responsible for measurement methodology of the Nielsen NetRatings metering and reporting processes. This included the development of measurement and reporting requirements, ranging from methodology design to resolution of technical challenges of measuring digital content consumption.
  • Aspen Research
    Research Analyst
    Aspen Research Sep 1998 - Nov 1999
    Maple Grove, Minnesota, Us
  • Foote, Cone And Belding (Fcb)
    Research Analyst
    Foote, Cone And Belding (Fcb) Mar 1997 - Sep 1998
  • Universidad Catolica Andres Bello (Ucab)
    Assistant Professor; Graduate School Of Organizational Development
    Universidad Catolica Andres Bello (Ucab) 1997 - 1998

Ruben Padron Skills

Analytics Omniture A/b Testing Data Mining Statistical Modeling Search Analytics Spss Sql Consumer Insights Audience Measurement Web Analytics Data Analysis Advertising Research Data Visualization Customer Insight Mobile Devices Strategy Big Data Seo Predictive Modeling Product Management Segmentation Mobile Applications Monetization Start Ups Online Advertising Strategic Partnerships Digital Strategy

Ruben Padron Education Details

  • Ucab - Universidad Católica Andrés Bello
    Ucab - Universidad Católica Andrés Bello
    Experimental Psychology

Frequently Asked Questions about Ruben Padron

What company does Ruben Padron work for?

Ruben Padron works for Figure

What is Ruben Padron's role at the current company?

Ruben Padron's current role is Chief Data Officer at Figure.

What is Ruben Padron's email address?

Ruben Padron's email address is pa****@****ail.com

What is Ruben Padron's direct phone number?

Ruben Padron's direct phone number is +1 866-357*****

What schools did Ruben Padron attend?

Ruben Padron attended Ucab - Universidad Católica Andrés Bello.

What skills is Ruben Padron known for?

Ruben Padron has skills like Analytics, Omniture, A/b Testing, Data Mining, Statistical Modeling, Search Analytics, Spss, Sql, Consumer Insights, Audience Measurement, Web Analytics, Data Analysis.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.