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@linkedin.com
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3 phones found area 213 and 210
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LinkedIn matched
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Steve Na is listed as Senior Staff, Data Science at LinkedIn at LinkedIn, based in Mountain View, California, United States. AeroLeads shows a work email signal at linkedin.com, phone signal with area code 213, 210, and a matched LinkedIn profile for Steve Na.
Steve Na previously worked as Senior Staff / Senior Manager, Data Science at Linkedin and Chief Data Scientist / Co-Founder at Shoplogic. Steve Na holds Bachelor Of Science, Applied Physics from Caltech.
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AeroLeads found 1 current-domain work email signal for Steve Na. Compare company email patterns before reaching out.
Data Science and Analytics professional. Ad tech experience on publisher, advertiser, and DSP sides.Competencies: Product Analytics, GTM Analytics, Experimntation, Strategy & Insights, Performance Management, Data Architecture, Business Intelligence and Data Warehousing, Statistical Modeling.
Listed skills include Analytics, Business Intelligence, Hadoop, Machine Learning, and 39 others.
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Sunnyvale, CA, US
LinkedIn connects the world's professionals and aims to create economic opportunity for every member of the global workforce.Most recently, tech led the Linkedin Marketing Solutions (Ads) Data Science team. Helped to grow ads revenue from $0 to $6B a year. Previously led a team of 20+ data scientists. Also, tech led Linkedin Sales Solutions and Premium.
ShopLogic worked with online retailers to optimize their on-site promotions using machine learning.Designed and implemented the science using R and Ruby. Supported frontend and backend development using Ruby, Javascript, HTML. Raised $800k in seed funding, accepted to AngelPad Incubator program, grew business to cash flow positive before final acquisition.
Wilmington, NC, US
Adchemy was a top 5 internet advertiser and adtech company.Supported lead generation business with analytics, etl, data alerts, bi data warehousing. as well as insights to improve lead matching and other algorithms.
Sunnyvale, CA, US
Yahoo was a top internet destination and brand with varying services and properties. Analytics support for the Yahoo Media Group and Search Marketplace business units. This included a/b testing support, reporting, and determination of marketing spend allocation.
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Elske Meines
Colleague at Linkedin
The Randstad, Netherlands, Netherlands, Netherlands
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Laura (Maffucci) Gilbert
Colleague at Linkedin
San Diego, California, United States, United States
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Lisa Parreira
Colleague at Linkedin
New Braunfels, Texas, United States, United States
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Cecile Eskenazi 🇫🇷 🇺🇸
Colleague at Linkedin
San Francisco Bay Area, United States, United States
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Tiffany Agiri
Colleague at Linkedin
San Francisco, California, United States, United States
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Michael Gonzales
Colleague at Linkedin
Omaha Metropolitan Area, United States, United States
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Brendan Lacobelle
Colleague at Linkedin
New York, New York, United States, United States
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Johnksk5M1119-195251 Doe
Colleague at Linkedin
San Francisco Bay Area, United States, United States
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Cassi M.
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San Francisco, California, United States, United States
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Andy Petrasz
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Greater Chicago Area, United States, United States
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Quick answers generated from the profile data available on this page.
Steve Na works for LinkedIn.
Steve Na is listed as Senior Staff, Data Science at LinkedIn at LinkedIn.
AeroLeads has found 1 work email signal at @linkedin.com for Steve Na at LinkedIn.
AeroLeads has found 3 phone signal(s) with area code 213, 210 for Steve Na at LinkedIn.
Steve Na is based in Mountain View, California, United States while working with LinkedIn.
Steve Na has worked for Linkedin, Shoplogic, Adchemy, and Yahoo!.
Steve Na's colleagues at LinkedIn include Elske Meines, Laura (Maffucci) Gilbert, Lisa Parreira, Cecile Eskenazi 🇫🇷 🇺🇸, and Tiffany Agiri.
You can use AeroLeads to view verified contact signals for Steve Na at LinkedIn, including work email, phone, and LinkedIn data when available.
Steve Na holds Bachelor Of Science, Applied Physics from Caltech.
Steve Na is listed with skills including Analytics, Business Intelligence, Hadoop, Machine Learning, Perl, Data Mining, Big Data, and Business Analytics.
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