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Jordan Young
Senior Engineering Manager - Analytics Infrastructure
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Location: San Francisco, California, United StatesApprox. Years of Experience: 13
Jordan Young's Current Workplace
Airbnb
Company Size
2500+
Amount Raised
$6.4B
Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed 1.4 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
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Experience
Senior Engineering Manager - Analytics Infrastructure
Airbnb · Full-time
Oct 2022 - Present
1 yr 8 mos
Twitter
Nov 2019 - Oct 2022
Senior Engineering Manager - Product Insights & Experimentation
Dec 2021 - Oct 2022
11 mos
Engineering Manager - Product Insights and Experimentation
Nov 2019 - Dec 2021
2 yrs 2 mos
Glu Mobile
Sep 2016 - Oct 2019
Senior Director, Revenue Technology
Oct 2018 - Oct 2019
1 yr 1 mo
Leading the development of server-side revenue technology at Glu including: -Data infrastructure and platform -Personalization and experimentation technology -Marketing and user acquisition analytics products
Director, Analytics and Revenue Engineering
Aug 2017 - Oct 2018
1 yr 3 mos
Technical Director, Analytics Engineering
Sep 2016 - Aug 2017
1 yr
Data Scientist
DeNA
Oct 2012 - Sep 2013
1 yr
* Owned critical analysis and testing of key platform features by ensuring adequate eventing, planning experimental design, executing analysis of results and interpreting those results for management. * Performed research into user behavior via deep feature extraction and machine learning algorithms. Developed business applications utilizing this research to improve platform retention and monetization. * Prototyped data piping from Hive warehouse to HBase backing front-end funnel visualization, developing generic piping for all funnel events across games assuming an event schema. * Evangelized proper data usage and analysis and ensured insights team’s stakeholder role. * Built useful aggregations, tools and scripts to abstract complicated tasks (i.e. metric calculation, data operations, etc) for less technical analysts primarily using Hive UDFs, and Python scripting.
Fannie Mae
Jun 2009 - Oct 2012
Financial Economist
Oct 2009 - Oct 2012
3 yrs 1 mo
* Redesigned REO Sale Price Model and Disposition Cost Prediction logic and built an implementation used for pricing and retrospectively evaluating liquidation workouts, such as short sales, third party sales and deeds-in-lieu. * Conceived of, designed and implemented a model which predicts the net present value of a deed-in-lieu transaction used by business partners in guiding deed-in-lieu policy. * Developed and implemented a logistic regression model to predict the probability of a Broker Price Opinion (BPO) misvaluing a property. This model was placed into production and runs daily to select BPOs (used to price preforeclosure and third party sale transactions) for manual review. * Developed and implemented a logisitic regression model used to select high risk appraisals for manual review. This model runs daily on all recently acquired Real Estate Owned (REO) properties. Helped manage the software development life cycle process by working closely with business and technology partners. * Responsible for defending all model development in front of model validation. Also responsible for developing and implementing model performance tracking. * Developed a new methodology for pre-foreclosure sale and third party sale pricing emphasizing transaction risk management. Designed, developed and implemented a production process which computes these prices and is used by internal loss mitigation analysts to decision pre-foreclosure sales. * Provided analytics surrounding distressed asset disposition for our business partners to guide decision making. Analyzed the value of a variety of initiatives including Fannie Mae's First Look program. * Analytics and modelling performed using SAS and SQL in a Unix environment. Worked with extremely large and complex Oracle databases containing mortgage, property, valuation and disposition related data.
Research Analyst Intern
Jun 2009 - Oct 2009
5 mos
Education
  • 2009 - 2011
    CFA InstituteFinance
  • 2005 - 2009
    The Johns Hopkins UniversityBA, International Studies