Data Scientist | Solve business challenges with data | Nationwide recruitmentEnglish summary from Japanese

FLARETECH 株式会社（旧：Marvel 株式会社）

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Salary

4.2 million yen - 10 million yen

Location

Tokyo, Kanagawa Prefecture, Chiba Prefecture, Saitama Prefecture, Osaka Prefecture, Hyogo Prefecture, Kyoto Prefecture, Aichi Prefecture, Hokkaido, Aomori Prefecture, Iwate Prefecture, Miyagi Prefecture, Akita Prefecture, Yamagata Prefecture, Fukushima Prefecture, Ibaraki Prefecture, Tochigi Prefecture, Gunma Prefecture, Niigata Prefecture, Toyama Prefecture, Ishikawa Prefecture, Fukui Prefecture, Yamanashi Prefecture, Nagano Prefecture, Gifu Prefecture, Shizuoka Prefecture, Mie Prefecture, Shiga Prefecture, Nara Prefecture, Wakayama Prefecture, Tottori Prefecture, Shimane Prefecture, Okayama Prefecture, Hiroshima Prefecture, Yamaguchi Prefecture, Tokushima Prefecture, Kagawa Prefecture, Ehime Prefecture, Kochi Prefecture, Fukuoka Prefecture, Saga Prefecture, Nagasaki Prefecture, Kumamoto Prefecture, Oita Prefecture, Miyazaki Prefecture, Kagoshima Prefecture, Okinawa Prefecture, Full Remote

Job Type

Full-time

Work Style

10:00～18:30

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Role summaryEnglish summary from Japanese

English summary for screening — check the original posting before applying.

This role involves handling data analysis, machine learning model construction, and data utilization support for over 4,000 partner companies, including direct dealings with listed corporations. The focus is on projects that lead to business operations and decision-making, not just analysis.

Must-haves

Experience in data analysis and machine learning model building
Experience in data extraction, processing, and visualization using Python/SQL
Experience in reporting analysis results and proposing measures
Experience in supporting the creation of infrastructure and systems for data utilization

Nice-to-haves

Experience in organizing business challenges and designing analysis/hypothesis formulation
Experience in building and improving machine learning models
Experience in building demand forecasting models
Experience in analyzing marketing data and extracting insights for measure improvement
Experience in automating data preparation and preprocessing
Experience in building systems for regularly checking analysis results

About the Company