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François Lay

Data Engineering Manager @ Spotify

Staff Machine Learning Engineer at Spotify

East Setauket, New York

Ranked #364 out of 7,285 for Data Engineering Manager in New York

Section title

François Lay's Work Experience

Spotify

Data Engineering Manager

February 2014 to Present

Viadeo

Director of Data

September 2012 to January 2014

Greater New York City Area

PhotoBox Group

Manager of Business Intelligence

February 2007 to September 2012

Paris Area, France

François Lay's Education

Ecole nationale de la Statistique et de l'Analyse de l'Information

MS - Statistical Engineering Diploma Statistics and Information Systems

2000 to 2003

Université de Rennes I

MS Artificial Intelligence Non-graduating courses

2002 to 2003

Université Pierre et Marie Curie (Paris VI)

BS Applied Mathematics

1997 to 1999

François Lay's Professional Skills Radar Chart

Based on our findings, François Lay is ...

Troubleshooter
Objective
Cause-and-effect oriented

What's on François Lay's mind?

Based on our findings, François Lay is ...

52% Left Brained
48% Right Brained

François Lay's Estimated Salary Range

About François Lay's Current Company

Spotify

As a member of the Infrastructure & Operations tribe, I am growing an engineering chapter focused on data infrastructure and data science. Our goal is to build a suite of user-friendly data tools that empower engineers in building the features that make Spotify always better. My favorite topics : master data management, fluent data processing APIs (Spark),...

Frequently Asked Questions about François Lay

What company does François Lay work for?

François Lay works for Spotify


What is François Lay's role at Spotify?

François Lay is Data Engineering Manager


What is François Lay's personal email address?

François Lay's personal email addresses are f****[email protected], and m****[email protected]


What is François Lay's business email address?

François Lay's business email address is f****[email protected]


What is François Lay's Phone Number?

François Lay's phone (212) ***-*144


What industry does François Lay work in?

François Lay works in the Internet industry.


Who are François Lay's colleagues?

François Lay's colleagues are Abhishek Bidap, Lucas Corley, Sari Nahmad, Erik Price, Javier Gayoso, Adam Laiacano, Natasha Issayeva, Katelyn Findlay, Eden Greenstein, and Davy Li


About François Lay

📖 Summary

My goal is to participate in the creation of data-driven, mission critical, web-oriented software products, with an impact on revenue generation, user experience and human activities. In order to do so I leverage expert operational knowledge in areas such as machine learning, distributed data systems, functional programming, business intelligence and marketing automation. As a director I support my strategic vision by hiring and managing A-player teams ideally working in a lean, agile way.Data Engineering Manager @ As a member of the Infrastructure & Operations tribe, I am growing an engineering chapter focused on data infrastructure and data science. Our goal is to build a suite of user-friendly data tools that empower engineers in building the features that make Spotify always better. My favorite topics : master data management, fluent data processing APIs (Spark), data contracts, controlled experiments, actor systems and machine learning at large. I am hiring now so feel free to reach out if this piques your curiosity ! From February 2014 to Present (1 year 11 months) Director of Data @ The Viadeo Group owns and operates professional social networks around the world with a total membership base of over 50 million professionals. Professionals use the networks to enhance their career prospects, discover business opportunities and build relationships with new contacts as well as to create effective online identities. The Group currently has over 400 staff with offices and teams located in the US, the UK, the Netherlands, France, Spain, Italy, Russia, China, India, Mexico, Morocco and Senegal. I am managing a full spectrum of data related activities, from business analytics to behavioral CRM. In that context I build the teams and tools that allow Viadeo to extract more value from data : I created an engineering team, a machine learning team (including PhD candidate), and a business intelligence team. Our technological focus is on building a unifying and scalable data system used for analytics, data quality, ETL management, email (re)targeting and recommendation. Our current efforts are considerably leaning towards development on the open source Apache Spark distributed system (Berkeley) in the Scala language. Our prototyping is mostly done in R although Python (scikit-learn / theano) or Julia could make up for smart complements. In the more classical Hadoop setting we use Cascading / Scalding. I have gained very strong experience with Amazon Web Services (VPC) which we use to test and deploy clusters in a matter of minutes. On the analytics side we are building our own data visualization platform based on great front-end libraries (D3.js, Sammy.js, Knockout.js) and great backend technology (Clojure, Amazon EC2). From September 2012 to January 2014 (1 year 5 months) Greater New York City AreaManager of Business Intelligence @ With 24 million registered members across 17 countries, PhotoBox.com is the european leader of the online printing, sharing and storage of digital photos. I was managing the group Business Intelligence team, and reporting to PhotoBox's CTO. We supported finance as well as local european marketing teams (UK, France, Germany, Italy, Sweden...). More precisely I was in charge of the following: - Group Datawarehouse/ETL procedures (Oracle, Talend, Clojure/Cascalog) - Ad-Hoc/Static Reporting - CRM/Emailing platform (Neolane, several millions of emails/month) - Online survey data collection (Web services) - Data mining (segmentation, predictive analytics) - Web analytics (Omniture) Our scope went beyond pure Business Intelligence and reached both CRM and quantitative analysis, which made it very exciting! From February 2007 to September 2012 (5 years 8 months) Paris Area, FranceBusiness Intelligence Engineer / Data Miner @ PriceMinister is the third most popular e-commerce site in France (12 million visits/month, 4+ million members). Mission: - To participate in the deployment of modern corporate reporting infrastructure (Oracle Warehouse Builder, Oracle Database 10g, Business Objects) while developing and maintaining existing reporting systems (Perl, SQL). - CRM project and analysis of business activities through the use of advanced data mining techniques. Skills: - Advanced statistics and data mining (SAS, SPSS, Excel, R open source framework), emailing, database conception (PowerDesigner), Oracle SQL, PL/SQL, ETL, Perl/shell programming, Linux administration, Apache/Tomcat web server, Business Objects administration, database performance optimization, SQL optimization. - Strong understanding of online marketing principles, online customer behavior and business logic in general. Ability to communicate with sales, marketing, finance or back office departments using words they understand. From June 2005 to February 2007 (1 year 9 months) Paris Area, FranceSoftware Engineer @ Web development for e-business website ALAPAGE.COM (France Telecom). Developed "La Boutique des Salaries", an online website used by France Telecom's staff, using core PHP components initially developed for alapage. From April 2005 to May 2005 (2 months) Paris Area, FranceSoftware Engineer/Data Miner @ - Realized statistical studies on Lycos Tripod european customer base (over 6 million users), participated in customer scoring to help optimize costs reduction, - Developed Web-based corporate reporting dashboards to be used by european management, - Fully developed the Lycos Partnershop, a marketing platform used to improve sales of the Lycos Webcenter webhosting product line by recruiting reselling partners. From September 2003 to September 2004 (1 year 1 month) Paris Area, FranceInternship Software Engineer @ Worked on database conception issues at french National Labs (IRISA Rennes). Subject: "Improving performances of nearest neighbor search through the use of statistical methods". Context: multimedia databases of highly dimensional feature descriptors. C++ coding. From February 2003 to July 2003 (6 months) Rennes Area, FranceInternship Software Engineer @ Worked for "Content Search and Access" R&D team, dealing with computer vision topics. Developed a video player with specific artifical intelligence engine that allowed real-time scene detection (internal use). Used Microsoft Visual C++ (MFC, DirectX). Understanding of specific markovian models used to perform scene detection. From July 2002 to September 2002 (3 months) Rennes Area, FranceMS - Statistical Engineering Diploma, Statistics and Information Systems @ Ecole nationale de la Statistique et de l'Analyse de l'Information From 2000 to 2003 MS, Artificial Intelligence, Non-graduating courses @ Université de Rennes I From 2002 to 2003 BS, Applied Mathematics @ Université Pierre et Marie Curie (Paris VI) From 1997 to 1999 AS, Physics, Mathematics, Computer Sciences, Earth Sciences @ Université de La Rochelle From 1994 to 1996 François Lay is skilled in: Data Mining, Perl, Data Warehousing, Databases, Email Marketing, ETL, Web Analytics, SQL, Web Applications, MySQL, PostgreSQL, Statistics, E-commerce, SAS, Hadoop


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In a nutshell

François Lay's Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

1 year(s), 7 month(s)

François Lay's Willingness to Change Jobs

Unlikely

Likely

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François Lay's Social Media Links

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