Steve Essinger Email and Phone Number
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Entrepreneurial-minded, cross-functional leader, thriving at the intersection of product, science and engineering to develop impactful digital products.As a Senior Director at Nike, I led the applied science personalization teams in Nike's Global Consumer Data Science organization. Our primary focus evolved the capabilities that underpin personalized experiences throughout the consumer journey. This includes enhancing personalization for dotcom and app digital experiences, as well as optimizing owned marketing communications. We also leveraged insights from our consumer-facing machine learning systems to inform business decisions.A key achievement during my tenure has been the development and expansion of the product recommendations program. Created from the ground up, this initiative now generates hundreds of millions in incremental revenue annually and is a vital part of our global strategy. Our work was featured at the ACM RecSys conference. Prior to Nike, I had a dynamic career at Pandora Music. As a key member of the core music recommendation team, I was instrumental in developing our personalization algorithms and was an active participant in the ACM RecSys community. I also led the personalization effort for our pioneering podcast initiative, scaling to millions of listeners within months of launch. During my graduate studies, I authored over 12 peer-reviewed publications, collaborating with molecular ecologists to develop machine learning and statistical approaches to study complex relationships among bacterial communities for environmental research. More info can be found at www.sessinger.com Prior to my data science career, I worked as an electrical engineer at Honeywell, specializing in analog electronics and wireless systems, where I contributed to over 20 patents in the field.Please feel free to follow me for updates and insights. I welcome connections and am open to discussing potential collaborations or consulting opportunities.www.sessinger.com
Actionvalue.Ai
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- actionvalue.ai
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Actionvalue.AiCalifornia, United States -
Senior Director Of Data Science, PersonalizationNike Mar 2022 - PresentBeaverton, Or, Us★ Global leader guiding multiple teams developing algorithmic capabilities that power personalized experiences across the consumer journey, including dotcom, app, and owned marketing communications(left Nike May 2024) -
Director Of Data Science, Personalized ExperiencesNike Feb 2020 - Mar 2022Beaverton, Or, Us★ Spearheaded algorithmic product recommendations program for Nike's digital experiences; realizing $100M+ in yearly incremental revenue★ Developed AIR, Nike's personalized product recommender system; presented at ACM RecSys 2021. -
Principal Data ScientistNike Nov 2019 - Feb 2020Beaverton, Or, Us★ Coached team thru launch of personalized product recommendations in Nike App, realizing millions of dollars in incremental revenue. -
Staff Scientist, Personalization & RecommendationPandora Apr 2019 - Nov 2019Oakland, Ca, Us★ Machine Learning (end-to-end), Production Scale, Personalized Music Recommendation for core radio product (70M+ monthly active users) -
Senior Scientist, Personalization & RecommendationPandora Sep 2016 - Apr 2019Oakland, Ca, Us★ Personalized recommendations lead for the product launch of Podcasts. Challenged by simultaneous cold-start user and item constraints. Delivered on time, within scope, and having world-class performance. (Patents pending)★ Conceptualized and developed Our Soundtrack, the personalized group-listening playlist, which became the primary user facing Family Plan feature. High adoption rate in target audiences.★ Science lead for the next-gen Social Profile Recent Favorites and Top Artists modules. Developed beta prototypes and worked with engineering team to deliver productionized product feature. Listener play-through-rates 2x following launch.★ Presented at company-wide meetings. Mentored several scientists and interns. ★ Publications, including acceptance at ACM RecSys 2017. -
Scientist, Recommender SystemsPandora Jul 2014 - Sep 2016Oakland, Ca, Us★ Applied research on personalized music recommendation. Working with engineering, shipped productionized models to A/B framework. Optimized models for lift in relevant business metrics. -
Graduate Research FellowEesi Laboratory, Drexel University Sep 2008 - Dec 2013Philadelphia, Pennsylvania, Us★ Machine Learning, Data Science, Applied Interdisciplinary Research★ Portfolio: http://www.sessinger.com★ Algorithm/Method Development1. Ph.D. Thesis: Coupled regression and non-parametric hypothesis testing for detecting biological interactions --- R-package: NullSens ---2. Built unsupervised ML approach for hierarchical classification of DNA sequences 3. Developed particle swarm optimization for content-based ordering of biological samples★ End-to-End Data Analysis (Data Wrangling thru Presentation)1. Python toolkit to integrate custom databases, alignments and trees for exploratory analysis2. Built analytical pipeline for meta-analysis of fish gut communities for ecologist collaborator3. Systematic benchmarking of bioinformatics algorithms; advised best practices -
Research EngineerHoneywell Scanning & Mobility (Formerly Metrologic, Blackwood, New Jersey) Sep 2004 - Sep 2008Charlotte, North Carolina, Us★ Electrical Engineering Lead for Globally Distributed Interdisciplinary Team:★ Developed Novel Electronic Paper Signage Display System - Zigbee, RFID, and E-Ink★ Delivered successful pilot of prototype system to both U. of Arkansas and Airbus★ Developed Novel Laser Illumination Denoising Circuit (patented) resulting in ~50% increase in bar-code scanner read range★ Prototyped RFID (13.56 MHz) Flexible Antenna for Smartcard Applications resulting in novel product designs based on prototypes★ Electrical Engineer, Systems Design, Prototype Fabrication, Patent Specification/Drawings★ Project Management, Customer facing Pilot Demonstrations -
Hardware EngineerEwa Sep 2003 - Mar 2004Herndon, Virginia, Us★ Designed variety of robust digital system architectures utilizing Xilinx FPGAs and VHDL code -
Engineering Co-OpFederal Aviation Administration (Faa) Sep 2002 - Mar 2003Washington, Dc, Us★ Performed evaluation of novel GPS-based aircraft landing system (LAAS) onboard aircraft in-flight
Steve Essinger Skills
Steve Essinger Education Details
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Drexel UniversityElectrical & Computer Engineering
Frequently Asked Questions about Steve Essinger
What company does Steve Essinger work for?
Steve Essinger works for Actionvalue.ai
What is Steve Essinger's role at the current company?
Steve Essinger's current role is Applied Science & Machine Learning Engineering Leader | Personalization & Recommender Systems.
What is Steve Essinger's email address?
Steve Essinger's email address is sd****@****xel.edu
What is Steve Essinger's direct phone number?
Steve Essinger's direct phone number is +160970*****
What schools did Steve Essinger attend?
Steve Essinger attended Drexel University.
What are some of Steve Essinger's interests?
Steve Essinger has interest in Product Development, Electronics, Scientific Computing, Mathematical Modeling, Machine Learning, Data Science, Statistical Methods.
What skills is Steve Essinger known for?
Steve Essinger has skills like Signal Processing, Matlab, Machine Learning, Python, Electronics, Mathematical Modeling, Programming, R&d, Simulations, Embedded Systems, Data Science, Pspice.
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