社名
社名非公開
職種
アクセス解析、統計解析、データ分析、データアナリスト
業務内容
Global company with stable business
Career advancement opportunities
Work with global members
求められる経験
3+ years of experience in a business-related data science and/or advance analytics role
...
2+ years of experience with Ph.D or 4-5 years of experience and /or M.S Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Physics, Mathematics, Molecular Biology, Bioinformatics, Computational Informatics, Medical Informatics, Computational Biology or a related discipline.
PHD or BSc in a STEM subject with equivalent knowledge is a plus
Strong working knowledge of machine learning techniques, such as regression, decision trees, probability networks, association rules, clustering, neural networks and Bayesian models, as well as skills in text mining and data visualization.
Clear understanding of data analysis workflows and statistical methods such as hypothesis testing and probability modeling.
Expertise in one or more programming languages, such as Python, R or Java.
Knowledge of relational database architecture and data management with expertise in SQL.
Experience in delivering on data science projects using predictive technologies, data mining and/or text mining in a business context.
Fluency in Japanese with conversational English level
保険
健康保険,厚生年金保険,雇用保険,労災保険
待遇・福利厚生
従業員持株会、財形貯蓄制度、育児支援制度、住宅融資制度・ホームヘルパー制度・各種レクリエーション活動など
休日休暇
日曜日,土曜日,祝日
-
給与
年収600 ~ 1,100万円
賞与
-
show more
社名
社名非公開
職種
アクセス解析、統計解析、データ分析、データアナリスト
業務内容
Global company with stable business
Career advancement opportunities
Work with global members
求められる経験
3+ years of experience in a business-related data science and/or advance analytics role
2+ years of experience with Ph.D or 4-5 years of experience and /or M.S Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Physics, Mathematics, Molecular Biology, Bioinformatics, Computational Informatics, Medical Informatics, Computational Biology or a related discipline.
PHD or BSc in a STEM subject with equivalent knowledge is a plus
Strong working knowledge of machine learning techniques, such as regression, decision trees, probability networks, association rules, clustering, neural networks and Bayesian models, as well as skills in text mining and data visualization.
Clear understanding of data analysis workflows and statistical methods such as hypothesis testing and probability modeling.
Expertise in one or more programming languages, such as Python, R or Java.
Knowledge of relational database architecture and data management with expertise in SQL.
...
Experience in delivering on data science projects using predictive technologies, data mining and/or text mining in a business context.
Fluency in Japanese with conversational English level
保険
健康保険,厚生年金保険,雇用保険,労災保険
待遇・福利厚生
従業員持株会、財形貯蓄制度、育児支援制度、住宅融資制度・ホームヘルパー制度・各種レクリエーション活動など
休日休暇
日曜日,土曜日,祝日
-
給与
年収600 ~ 1,100万円
賞与
-
show more