About
I have been involved in product development related to search and recommendation systems since my university days, with a background in library and information science. After graduating from graduate school, I joined Recruit Co., Ltd. as a data scientist, where I worked on tasks ranging from implementing machine learning in existing services to developing new businesses. Since 2019, I have been working at Mercari, Inc. as a data scientist, focusing on improving search systems. Later on, I transitioned to the role of a software engineer at the same company, where I worked on developing large-scale recommendation systems. In parallel, I promoted team development as a Scrum Master and have been driving product development as a Product Manager.
Experience
Mercari, Inc.
May 2019 - Present
Career Summary
After joining as a Data Scientist, I have experienced various roles including Engineer, Product Manager, and Director, gaining broad experience from development of search and recommendation systems to product strategy planning and team leadership.
Director
July 2024 - Present · 1 year 3 months
Product Team
- • Strategic planning and execution for product strategy related to improvement of buyer experience including recommendation and search features
Product Manager
April 2022 - June 2024 · 2 years 3 months
Product Team
- • Strategic planning and execution for discovery experience products
- • Strategic planning and promotion of home screen direction and recommendation features
Scrum Master / Software Engineer
May 2020 - June 2022 · 2 years 2 months
AI/Personalization Team
- • Introduction of Scrum to product teams in remote work environment and improvement of team development structure
- • Development, operation, and improvement of large-scale recommendation systems
Data Scientist
May 2019 - April 2020 · 1 year
Data science Team
- • Strategic planning for search improvement and experimental design for effect measurement
- • Establishment of evaluation and release flow for search and recommendation
- • Proof of concept for recommendation features
- • Launch of recommendation team
Recruit Co., Ltd.
April 2017 - April 2019
Data Scientist
April 2017 - April 2019 · 2 years 1 month
Data Management Department
- • System construction using machine learning for improving search navigation of existing websites
- • Maintenance and operation of advertising operation systems using machine learning
Internships & Part-time Jobs
2014 - 2016
Pixiv Corporation (pixiv 2016 SPRING BOOT CAMP)
March 2016
Planned and implemented email strategies to prevent user churn.
So-net Media Networks Corporation
March 2016
Conducted data analysis on DSP logs and created a prototype of a machine learning-based violation detection system.
Recruit Holdings Co., Ltd. (Internship)
February 2016
Participated in the data analyst course. Conducted data analysis on user behavior logs of website visitors using Python and other tools.
DMM.com Lab
August-September 2015
Worked as a server-side engineer to create APIs for smartphone applications using PHP.
University of Tsukuba, College of Knowledge and Library Sciences Programming Exercise TA
June 2015 - February 2016
Teaching Assistant for programming classes (Language: Ruby)
Ibaraki Prefectural Tsukuba Nursing School Library
April 2014 - January 2016
Handled librarian duties while creating and providing a book search system.
Education
University of Tsukuba, Graduate School of Library, Information and Media Studies — Master of Information Science
April 2015 - March 2017
Conducted research on people's expectations for Q&A services by comparing reference services, which are Q&A services in libraries, with Q&A sites such as Yahoo! Chiebukuro. The research results were recognized and published at an international conference.
University of Tsukuba, College of Knowledge and Library Sciences — Bachelor of Library and Information Science
April 2011 - March 2015
Studied "Library and Information Science," a discipline that challenges the systematization of technologies and knowledge on how to collect, organize, preserve, and provide information and knowledge that overflow in the world, while conducting research on social media and Q&A services.
Publications, Articles & Awards
Books & Papers
- Yusuke Shido, Shinya Yaginuma, Naoya Taguchi, Tomohiro Furusawa. Layout Optimizer for Personalized Home Screen based on Contextual Multi-Armed Bandit in C2C Marketplace. RecSys 2023 Workshop CONSEQUENCES '23
- Tomoko Uchida, Tomohiro Furusawa, Jun Ohtani, Ryo Kato, Shogo Suzuki, Shinsaku Kono. Search Systems - A Development and Improvement Guidebook for Practitioners. Lambda Note. May 2, 2022, 1st Edition, 1st Printing
- Search Engineer Introduction with Library and Information Science Otaku. Release Date: February 26, 2020
- Tomohiro Furusawa, Mamiko Matsubayashi, Tetsuji Satoh. Users' preferences for answer forms to reference questions in libraries. iiWAS '16, Singapore, November 28 - 30, 2016
- Tomohiro Furusawa, Mamiko Matsubayashi, Tetsuji Satoh. People's expectations for answer forms to reference questions. 2016 Japan Society of Library and Information Science Spring Research Meeting, May 28, 2016
- Tomohiro Furusawa, Mamiko Matsubayashi, Tetsuji Satoh. Differences between reference questions in libraries and questions on Q&A sites. IEICE and others co-sponsored, 7th Forum on Data Engineering and Information Management, DEIM2015, A1-5 (Mar. 2015).
Interview Articles
- What I learned from switching between Engineer and PM careers at Mercari | mercari AI (December 20, 2022)
- PM who launched the recommendation team reflects on Mercari's discovery experience past and future | mercari AI (December 20, 2022)
- Insights gained by Mercari PMs in feature development due to "too much data and too detailed" and deepening mysteries | mercan (Mercan) April 20, 2022
- Personalized home screen where no one is "the same" - Why Mercari challenges "more complex than other companies" personalization | mercan (Mercan) (April 7, 2021)
Presentations & Lectures
- University of Tsukuba Alumni Omnibus Lecture / The power of curiosity and learning to uncover invisible value (November 21, 2024)
- Product Engineer Night #5 / Product-oriented development organizations (July 31, 2024)
- Product Manager Conference 2023 / Improvement of prime location home screen for services and effective stakeholder management (November 29, 2023)
- Mercari ML&Search Talk Vol.1 / Home screen layout personalization (December 14, 2021)
- Developers Summit 2021 Summer / Organizational essence to accelerate full-cycle development (July 30, 2021)
- CCSE2020 / Research and development cycle of personalization features at Mercari (December 11, 2020)
Awards
- August 2023 Mercari, Inc. MVP Award (January-July 2023)
- September 2022 Digital Hack Day 2022 Final Round (Top 10/77 teams)
- February 2022 Mercari, Inc. MVP Award (June-December 2021)
- October 2021 Digital Hack Day 2021 First Prize/Best Award (3 million yen prize)
- March 2021 Mercari Hack Week Bronze Award
- March 2020 Mercari Hack Week Gold Award
- December 2018 Yahoo! JAPAN Hack Day 2018 Tech Award
- June 2018 SPAJAM2018 Tokyo B Preliminary Excellent Award
- May 2018 AngelHack Tokyo 2018 LINE Award/IBM Award/Best
- December 2017 Yahoo! JAPAN Hack Day 10th Anniv. Hackathon Tech Award
- June 2017 SPAJAM2017 Tokyo C Preliminary Best Award
- May 2017 Graduate School First Type Scholarship Full Refund Exemption
- March 2017 Graduate School of Library, Information and Media Studies Dean's Commendation
- February 2017 Yahoo! JAPAN Hack Day 2017 Excellent Award
- December 2016 Future Media Camp 2016 Future Media Camp Award (Organized by: Asahi Shimbun, Special Cooperation: Keio University Graduate School of System Design and Management, Cooperation: Think the Earth)
- November 28-29, 2015 Hacker Wars Best Award, Jigen Co. Award
- September 2-4, 2015 DMM Ideathon + Hackathon Individual Award Semi-MVP, Team 2nd Place
- March 2015 University of Tsukuba College of Knowledge and Library Sciences Dean's Commendation