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    Florent Silve

    Florent Silve

    VP Data Science & Engineering @hotelengine, Head of Data @sonderstays; Head Sol. Eng @premise; Economist @ UK IB; studied Engineering & Econ. @university-of-cambridge-1 @ecole-polytechnique

    Head Of Data Science San Francisco University of Cambrid...
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    Experience
    Join me at Hotel Engine!
    20 Open Positions · $114k–$310k/yr
    View Jobs
    Hotel Engine
    Hotel Engine
    VP, Data Science & Engineering 2020 - Present (over 6 years)
    Bridge Analytics
    Bridge Analytics
    Founder, CEO 2017 - 2020 (over 2 years)
    Sonder
    Sonder
    Senior Eng. Manager - Leading Data Science, Data Engineering and Machine Learning 2017 - 2019 (about 2 years)
    Backed by some of the most well-regarded venture investors in the Bay Area, we are building the future of hospitality so that we can inspire unforgettable moments of discovery... more and joy throughout the world. Sonder is the world's first deconstructed hotel which takes you somewhere no other company can. My team is building the data and machine learning infrastructure underpinning our core product. We are looking for outliers to join the team, so feel free to reach out!
    Stealth-Mode Startup
    Stealth-Mode Startup
    Founder
    Premise
    Premise
    Staff Data Scientist, Head of Solutions Engineering 2015 - 2017 (over 1 year)
    Data Science
    Founder
    Bridge Analytics, Stealth-Mode Startup
    Employee
    Premise, Schlumberger, University of Cambridge, Microeconomix, The Brattle Group, Econ One Research, EBRD London, Sonder, Hotel Engine
    Investor
     
    Incubator
     
    Advisor
     
    Attorney
     
    Board Member
     
    Mentor
     
    Member
     
    Acquired
     
     
    Education
     
    About
    Achievements

    Hands-on data science & machine learning leader and mentor with a track record of building, scaling and leading world-class teams of data scientists, machine learning engineers, data engineers, and economists. Both an engineer and economist by training, I have a background in computer science, statistics, econometrics, machine learning, and more than 10 years of experience building data products and leveraging data to inform complex business, product, policy and financial decisions. I have worked in a broad set of industries including software, finance, healthcare, energy, travel and hospitality. For the past 5 years, I have focused on building data and machine learning infrastructure, products and services at early-stage and high-growth technology companies.

    Describe the most impressive thing you've done.
    Skills
    Economics Integrity Management Programming Research Security Statistics Data Analysis Big Data Machine Learning Business Strategy Growth Hacking Revenue Management Artificial Intelligence DevOps Engineering Software Travel Due Diligence Finance Data Privacy
    Locations
    San Francisco Bay Area Denver
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