社名社名非公開職種データサイエンティスト業務内容International Company11 languages spoken in the officeTraining and Formation to grow your career求められる経験- Strong experience in SQL, Python and Web Scraping- Fluent Japanese and Biz English- Experience in Data Modeling, management and quality保険健康保険,厚生年金保険,介護保険,雇用保険待遇・福利厚生休憩室,食堂休日休暇日曜日,土曜日,祝日給与年収600 ~ 900万円賞与Yes雇用期間期間の定めなし
社名社名非公開職種データサイエンティスト業務内容International Company11 languages spoken in the officeTraining and Formation to grow your career求められる経験- Strong experience in SQL, Python and Web Scraping- Fluent Japanese and Biz English- Experience in Data Modeling, management and quality保険健康保険,厚生年金保険,介護保険,雇用保険待遇・福利厚生休憩室,食堂休日休暇日曜日,土曜日,祝日給与年収600 ~ 900万円賞与Yes雇用期間期間の定めなし
¥9,000,000 - ¥12,000,000 per year, 年収900 ~ 1,200万円
社名社名非公開職種データサイエンティスト業務内容Key ResponsibilitiesThe team is seeking a self-motivated and highly organized person with excellent analytical and technical skills to support business needs for data. This involves the implementation of an EDM (enterprise data management) solution and support of systems under the purview of the GDSS department. The role includes the following:Support the design and development of the EDM solution by reviewing the existing internal
社名社名非公開職種データサイエンティスト業務内容Key ResponsibilitiesThe team is seeking a self-motivated and highly organized person with excellent analytical and technical skills to support business needs for data. This involves the implementation of an EDM (enterprise data management) solution and support of systems under the purview of the GDSS department. The role includes the following:Support the design and development of the EDM solution by reviewing the existing internal
¥8,000,000 - ¥40,000,000 per year, 年収800 ~ 4,000万円
社名社名非公開職種データベースエンジニア業務内容【WHO YOU'LL WORK WITH】You will be based in Tokyo and will be part of a global data engineering community and you will work in cross-functional and Agile project teams alongside project managers, data scientists, machine learning engineers, other data engineers, and industry experts.You will work hands in hands with our clients, from data owners and users to C-level executives.【WHAT YOU'LL DO】・Partner with our clients, from data owne
社名社名非公開職種データベースエンジニア業務内容【WHO YOU'LL WORK WITH】You will be based in Tokyo and will be part of a global data engineering community and you will work in cross-functional and Agile project teams alongside project managers, data scientists, machine learning engineers, other data engineers, and industry experts.You will work hands in hands with our clients, from data owners and users to C-level executives.【WHAT YOU'LL DO】・Partner with our clients, from data owne
¥11,000,000 - ¥15,000,000 per year, 年収1,100 ~ 1,500万円
社名社名非公開職種データベースエンジニア業務内容We are looking for someone with a strong background in data engineering who is passionate about accelerating data-driven decision making throughout the company.As Senior Data Engineer, you will be working with internal teams to understand their data needs and provide the data platform that helps their day-to-day decisions.Responsibilities-Develop and maintain the data platform (data collection, analysis, and visualization)-Work with
社名社名非公開職種データベースエンジニア業務内容We are looking for someone with a strong background in data engineering who is passionate about accelerating data-driven decision making throughout the company.As Senior Data Engineer, you will be working with internal teams to understand their data needs and provide the data platform that helps their day-to-day decisions.Responsibilities-Develop and maintain the data platform (data collection, analysis, and visualization)-Work with
社名社名非公開職種データサイエンティスト業務内容International environmentFree Meals in the Office求められる経験Mandatory Skills:- Strong understanding in data engineering, including designing and building data pipelines and data integration solutions.- Strong understanding of SQL and NoSQL databases, data warehousing concepts, and data modeling techniques.- Strong understanding of bigdata/large-scale processing frameworks such as Spark, Kafka, Hadoop- Strong programming experience using
社名社名非公開職種データサイエンティスト業務内容International environmentFree Meals in the Office求められる経験Mandatory Skills:- Strong understanding in data engineering, including designing and building data pipelines and data integration solutions.- Strong understanding of SQL and NoSQL databases, data warehousing concepts, and data modeling techniques.- Strong understanding of bigdata/large-scale processing frameworks such as Spark, Kafka, Hadoop- Strong programming experience using
¥7,000,000 - ¥13,000,000 per year, 年収700 ~ 1,300万円
社名社名非公開職種データサイエンティスト業務内容・Design and implement data pipelines・Develop and maintain data models and architecture・Ensure data quality求められる経験・5+ years of experience in data engineering/modelling roles・Hands-on experience with BI tools (eg. Tableau, PowerBI) and data storage products like databricks, synapse, or snowflake・Strong in sql and python (5+ hands-on experience)保険健康保険 厚生年金保険 雇用保険休日休暇土曜日 日曜日 祝日給与年収700 ~ 1,300万円賞与Yes雇用期間期間の定めなし
社名社名非公開職種データサイエンティスト業務内容・Design and implement data pipelines・Develop and maintain data models and architecture・Ensure data quality求められる経験・5+ years of experience in data engineering/modelling roles・Hands-on experience with BI tools (eg. Tableau, PowerBI) and data storage products like databricks, synapse, or snowflake・Strong in sql and python (5+ hands-on experience)保険健康保険 厚生年金保険 雇用保険休日休暇土曜日 日曜日 祝日給与年収700 ~ 1,300万円賞与Yes雇用期間期間の定めなし
¥11,000,000 - ¥15,000,000 per year, 年収1,100 ~ 1,500万円
社名社名非公開職種データサイエンティスト業務内容Hands-on & people management senior data science roleHighly competitive salary | Hybrid+remote work optionsStable global organization | Insurance industry leader求められる経験【Essential Requirements / 必須要件】 . 5+ years of experience in advanced analytics with demonstrated business impact.. Hands-on experience with: Python, SQL, Pandas, PySpark, PowerBI, and AzureML.. Strong skills in machine learning techniques, including classification
社名社名非公開職種データサイエンティスト業務内容Hands-on & people management senior data science roleHighly competitive salary | Hybrid+remote work optionsStable global organization | Insurance industry leader求められる経験【Essential Requirements / 必須要件】 . 5+ years of experience in advanced analytics with demonstrated business impact.. Hands-on experience with: Python, SQL, Pandas, PySpark, PowerBI, and AzureML.. Strong skills in machine learning techniques, including classification