¥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
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
社名社名非公開職種データサイエンティスト業務内容WFH flexibility!Global Environment!Competitive salary!求められる経験Key Qualifications:• 3+ years of experience in an SRE role or similar position.• Strong experience in creating and managing data projects, with a focus on ETL Processes and Data Lake / Data Factories management.• Strong experience in deploying, managing, and monitoring Azure Cloud environments, particularly with data management tools.• Hands-on experience with Azure Data F
社名社名非公開職種データサイエンティスト業務内容WFH flexibility!Global Environment!Competitive salary!求められる経験Key Qualifications:• 3+ years of experience in an SRE role or similar position.• Strong experience in creating and managing data projects, with a focus on ETL Processes and Data Lake / Data Factories management.• Strong experience in deploying, managing, and monitoring Azure Cloud environments, particularly with data management tools.• Hands-on experience with Azure Data F
¥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Lead the development of cutting-edge data pipelines and build the future of electric vehicles in a dynamic and collaborative environment.■About the companyOur client is a rapidly growing technology company revolutionizing the automotive industry with innovative solutions. They offer a collaborative culture and a commitment to cutting-edge technology.■Role & ResponsibilitiesAs a Senior Backend Engineer (Analytics), you will design, b
社名社名非公開職種データサイエンティスト業務内容Lead the development of cutting-edge data pipelines and build the future of electric vehicles in a dynamic and collaborative environment.■About the companyOur client is a rapidly growing technology company revolutionizing the automotive industry with innovative solutions. They offer a collaborative culture and a commitment to cutting-edge technology.■Role & ResponsibilitiesAs a Senior Backend Engineer (Analytics), you will design, b
社名社名非公開職種データサイエンティスト業務内容Hybrid WorkInternational EnvironmentFree Cafeteria求められる経験- 3+ years of software development experience using Python.- Proven experience with public cloud platforms (e.g., Azure, AWS, GCP) and Databricks.- Experience writing production-level, well-documented code.- Familiarity with common machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas).- Experience with CI/CD pipelines.- Exper
社名社名非公開職種データサイエンティスト業務内容Hybrid WorkInternational EnvironmentFree Cafeteria求められる経験- 3+ years of software development experience using Python.- Proven experience with public cloud platforms (e.g., Azure, AWS, GCP) and Databricks.- Experience writing production-level, well-documented code.- Familiarity with common machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas).- Experience with CI/CD pipelines.- Exper
¥7,000,000 - ¥10,000,000 per year, 年収700 ~ 1,000万円
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Excellent work-life balance!English only ok! Global Environment!Hybrid working style available!求められる経験Requirements・Experience with Scala, Spark, or Java, Python (and other back-end languages) but willing to learn Scala.・Strong experience with relational databases database (mainly SQL).・More than 3 years of application development experience.Good-to-have・Experience of building data pipelines to extract, transfer and lo
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Excellent work-life balance!English only ok! Global Environment!Hybrid working style available!求められる経験Requirements・Experience with Scala, Spark, or Java, Python (and other back-end languages) but willing to learn Scala.・Strong experience with relational databases database (mainly SQL).・More than 3 years of application development experience.Good-to-have・Experience of building data pipelines to extract, transfer and lo
¥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
社名社名非公開職種データサイエンティスト業務内容Hybrid WorkInternational EnvironmentFree Cafeteria求められる経験- Bachelor’s degree or higher in Computer Science, Information Systems, or a related field- Experience developing and training AI/ML models using Python- Familiarity with Jupyter Notebook and exploratory data analysis (EDA)- Knowledge of data mining techniques and machine learning algorithms- Solid understanding of SQL and data modeling concepts- Basic command line skills in L
社名社名非公開職種データサイエンティスト業務内容Hybrid WorkInternational EnvironmentFree Cafeteria求められる経験- Bachelor’s degree or higher in Computer Science, Information Systems, or a related field- Experience developing and training AI/ML models using Python- Familiarity with Jupyter Notebook and exploratory data analysis (EDA)- Knowledge of data mining techniques and machine learning algorithms- Solid understanding of SQL and data modeling concepts- Basic command line skills in L