Vitaly Gordon

Co-founder & CEO

Faros AI

Jul 2019 - Current (7 years 1 month)

VP, Data Science and Engineering, Einstein

Salesforce

Mar 2016 - Apr 2019 (3 years 2 months)

Leading Data Science and Engineering for Salesforce Einstein At Salesforce Einstein, we work with some of the most diverse data sets in the world. Hundreds of thousands of businesses and millions of people use Salesforce today to manage all kinds of customer-related touch-points. Thus we deal with sales, service, and email marketing data from Fortune 500 companies, web browsing and purchase data from large e-commerce companies, IoT data from connected devices, rider data from ride-sharing companies, patient care data from large hospitals and clinics, the entire Twitter firehose as it pertains to various businesses, and so forth. Our goal is to democratize data science so that every business, even one without a sizeable data science team, s

Director, Data Science

Salesforce

Oct 2014 - Feb 2016 (1 year 5 months)

I'm leading the Secret Data Science Group

Data Science Lead, Data Intelligence Team

Nov 2013 - Oct 2014 (1 year)

LinkedIn's Data Intelligence team is in charge on developing inference and standardization algorithms across the different business entities. The team is in charge on standardizing titles, seniority, company, geography and skills of LinkedIn members. Also, it develops a company, skills and education inference algorithms. As a contributor, I ... : • Developed a new Job Function standardization model that uses a skills based approach instead of a text based approach. This model has more than doubled the accuracy of our job function standardization. (see my Strata talk) • Developed a new Seniority standardization that is using a transition based approach instead of a text based one. This model has improved seniority standardization by more th

Senior Data Scientist

Nov 2012 - Oct 2013 (1 year)

• Part of the Product Data Science Organization under Daniel Tunkelang. The group included Monica Rogati, Joseph Adler, Gloria Lau, Peter Skomoroch and other fantastic data scientists. • My first project was the instrumentation of LinkedIn new unified search experience, Voltron. Part of the instrumentation also included an analysis of query abandonment which facilitated the 2013 search roadmap. • Developed the first prototype of Salary Estimator, a model that predicts base salaries based on LinkedIn profiles. Part of the model features were company "desirability", a ranking that is now drives university ranking on LinkedIn. • Led the Guided Edit experience revamp from a hand tuned ordering into a model based ordering. The new model has incr

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Open Source Contributor

Scalding

Jun 2012 - Oct 2014 (2 years 5 months)

Scalding is a Scala library that makes it easy to specify Hadoop MapReduce jobs. Scalding is built on top of Cascading, a Java library that abstracts away low-level Hadoop details. Scalding is comparable to Pig, but offers tight integration with Scala, bringing advantages of Scala to your MapReduce jobs.

Senior Manager, Data Science

LivePerson

Oct 2010 - Nov 2012 (2 years 2 months)

• Managed a team of 5 data scientists and 6 engineers, reporting into the COO of LivePerson. Own the big data intelligence function, partnering with all six executive team business and product owners to identify opportunities and build the features to improve the automated intelligence of their products Conceived and developed a Siri-like virtual assistant. The program ingests millions of chat transcripts, analyzes and categorizes them to create answers for questions. Developed with Python on top of Hadoop and Solr Developed a distributed customer service rep-to-website visitor matching algorithm with twice the accuracy of the previous model while shortening the model’s deployment time from days to minutes Conceptualized and de

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Data Scientist, Team Leader

IDF

Nov 2008 - Oct 2010 (2 years)

Managed a multi-disciplinary team of five engineers, three data scientists and two professional services executives Led the development of multiple data mining projects involving clustering, classification, machine learning, pattern recognition, network analysis and identity theft detection on big data databases over dozens of terabytes Designed and developed distributed network analysis algorithm using Hadoop Map Reduce infrastructure Conceptualized and delivered a drag and drop integrated development environment to be used by non-programming researchers that shortened the time to market of algorithmic projects by more than 50% Lead team to receive the IDF award given annually to the single team that produces a fast response solu

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Backend Software Engineer

IDF

Aug 2007 - Oct 2008 (1 year 3 months)

Developed the real time pattern recognition algorithm for one of the largest initiatives in the history of Israeli intelligence. Algorithm was the recipient of the IDF’s “Life Source” award having the most impact in saving lives This algorithm improved the misdetection ratio, false alarm ratio and speed by 10x each over the previous algorithm Designed a multi-dimensional tree data structure for the optimization of the algorithm’s clustering

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Web Developer

IDF

Aug 2004 - Jul 2007 (3 years)

• Designed and developed various large scale web IT systems • Developed web UI controls using JavaScript and AJAX • Developed data mining algorithms for detecting irregularities in combat units

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