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Marcus HopfMH
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Marcus Hopf

@marcushopf

Data Science & AI leader at Booking.com, where I designed a bid-and-budget model that delivered 500,000 additional bookings yearly.

Germany
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At Booking.com, I lead a team of 8 data scientists and analysts and own the measurement and investment strategy behind more than €600M in annual Metasearch ad spend. I designed a cross-platform bid-and-budget model that delivered 500,000 additional bookings per year at stable ROI.

I co-initiated Booking.com's GenAI agent program for performance marketing, originated its performance-health-monitoring use case, and own the product roadmap. The agent is used across our area for knowledge lookup, analysis, and performance investigations, with human quality control during testing.

Earlier at Booking.com, I built an early-warning tool that caught experiments whose aggregate results hid harm to customer segments. At the University of Regensburg, I built an ML-based decision support system that cut tender preparation time from weeks to days. My PhD in machine learning and mathematics background inform my work in experimentation, causal measurement, and investment optimization.

Experience

Work history, roles, and key accomplishments

Booking.com logoBO
Current

Manager, Data Science & Analytics

Booking.com

Aug 2024 - Present (2 years 2 months)

Lead a team of 8 data scientists and analysts, owning measurement and investment strategy for over €600M in annual Metasearch ad spend. Designed a bid-and-budget allocation model that delivered 500,000 additional bookings per year at stable ROI, and co-initiated the GenAI agent program for performance marketing.

Booking.com logoBO

Data Scientist

Booking.com

Sep 2022 - Jul 2024 (1 year 10 months)

Built an early-warning tool for segment-level harm that caught five experiments in 2023, and separated true incremental growth from cannibalization between web and app journeys. Ran A/B tests with multiple-testing correction and heterogeneous treatment effect analysis, and improved experimentation quality metrics from 40% to 75%.

Education

Degrees, certifications, and relevant coursework

University of Regensburg logoUR

University of Regensburg

PhD (Dr. rer. pol.), Information Systems & Machine Learning

Grade: summa cum laude

PhD in Information Systems and Machine Learning, awarded summa cum laude.

University of Regensburg logoUR

University of Regensburg

M.Sc., Mathematics

2014 - 2016

Grade: very good

Activities and societies: Exchange semester in mathematics and computer science, University of Barcelona, Sep 2014 – Feb 2015

M.Sc. in Mathematics with grade 'very good'. Included an exchange semester at the University of Barcelona from September 2014 to February 2015.

University of Regensburg logoUR

University of Regensburg

B.Sc., Mathematics

2011 - 2014

Grade: good

B.Sc. in Mathematics with grade 'good'.

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