Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Chief Data Officer at GA Technologies
As the Data Director at Eureka, Jun spearheads the company's data strategy, employing robust AI solutions and data-driven insights to elevate user experiences and drive profit. Before joining Eureka, he gained extensive experience as a data analyst and an AI engineer at a leading internet firm. In this role, he successfully turned around the performance of multiple mobile game titles while pioneering the first-ever AI implementation in mobile gaming. His expertise extends to managing and leading large teams, aligning company-wide stakeholders, and maintaining close communication with executives. His eagerness to learn is reflected in his dedication to staying current on industry trends through reading, coding, writing blog posts, and actively contributing to the data community. As a speaker, writer, and translator, he has been involved in numerous presentations, writing, and translating activities. Jun holds a Ph.D. in Science from Kyoto University's Graduate School of Science, earned in 2014. As a JSPS Research Fellow (DC1), he has made significant contributions to astrophysics research on both domestic and international levels. Areas of Expertise: Data Analysis, Deep Learning, Reinforcement Learning, Recommender Systems, Product Management, Team Leadership, and Data-Driven Decision-Making.
Kyoto University
Doctor of Philosophy (PhD), Astrophysics
January 1, 2011 – January 1, 2014
Kyoto University
Master's degree, Astrophysics
January 1, 2009 – January 1, 2011
Kyoto University
Bachelor's degree, Physics
January 1, 2004 – January 1, 2009
GA technologies GROUP
Chief Data Officer
March 1, 2024 – Present
Minato, Tokyo, Japan · Hybrid
Eureka, Inc.
Data Director
November 1, 2019 – April 1, 2024
Tokyo, Japan
DeNA
ML Engineer / AI Team Lead
December 1, 2016 – November 1, 2019
Sibuya, Tokyo, JAPAN
DeNA
Data Analyst
April 1, 2014 – November 1, 2016
Sibuya, Tokyo, JAPAN
The Japan Society for the Promotion of Science (JSPS)
Research Fellow (DC1)
April 1, 2011 – March 1, 2014
Google Cloud Platform Fundamentals: Core Infrastructure
Coursera
June 24, 2026 – Present
Professional Data Engineer
Google Cloud
June 24, 2026 – Present
Google Cloud Platform Big Data and Machine Learning Fundamentals
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career progression from Data Analyst to ML Engineer/AI Team Lead, then to Data Director and Chief Data Officer, demonstrates a strong drive for growth and leadership. Their involvement in diverse projects across gaming, trust & safety, and search & recommendation, along with contributions to Kaggle and academic publications, indicates a broad interest and adaptability. The leadership roles in building teams and driving data governance align with a senior role requiring strategic impact. The transition from astrophysics research to industry also shows a capacity for applying complex analytical skills to real-world problems. The target role of ML Engineer aligns well with their core technical background, although their recent roles have been more managerial/strategic.
Soft Skills & Operational Fit
The candidate's experience as Chief Data Officer and Data Director, leading multiple teams and driving data strategy, indicates strong leadership, strategic thinking, and team management skills. Their involvement in publishing papers and leading community groups suggests initiative and knowledge sharing. The description of tripling team size and training middle management points to strong operational and people development capabilities. However, without specific psychometric test results, a full assessment of work attitude, stress handling, and team collaboration is limited.