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! Up to 4 days/week!
Global Environment!
Competitive salary!
求められる経験
• Business level Japanese and English for communication with internal stakeholders in both languages.
• 8+ years of experience in data engineering with a strong track record of designing and implementing complex data pipelines.
...
• Proven experience in building and scaling data solutions in cloud environments (AWS, Azure, or GCP).
• Deep understanding of various database technologies (relational, NoSQL, data warehousing) and their optimal applications.
• Expertise in ETL tools and frameworks (e.g. Spark, Airflow, Kafka) for data processing and transformation.
• Strong knowledge of AI/ML principles and best practices for deploying and scaling machine learning models in production.
• Experience with containerization technologies (Docker, Kubernetes) for deploying and managing data applications.
• Excellent communication and collaboration skills with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
• Passion for data and a commitment to building innovative solutions that deliver tangible business value.
Preferred:
•Experience with data visualization tools (e.g. Tableau, Power BI)
•Experience in Insurance Industry
•Knowledge of data governance and compliance regulations (e.g. GDPR, HIPAA)
•Experience with agile development methodologies
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1,200 ~ 1,400万円
賞与
-
雇用期間
期間の定めなし
show more
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! Up to 4 days/week!
Global Environment!
Competitive salary!
求められる経験
• Business level Japanese and English for communication with internal stakeholders in both languages.
• 8+ years of experience in data engineering with a strong track record of designing and implementing complex data pipelines.
• Proven experience in building and scaling data solutions in cloud environments (AWS, Azure, or GCP).
• Deep understanding of various database technologies (relational, NoSQL, data warehousing) and their optimal applications.
• Expertise in ETL tools and frameworks (e.g. Spark, Airflow, Kafka) for data processing and transformation.
• Strong knowledge of AI/ML principles and best practices for deploying and scaling machine learning models in production.
• Experience with containerization technologies (Docker, Kubernetes) for deploying and managing data applications.
• Excellent communication and collaboration skills with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
• Passion for data and a commitment to building innovative solutions that deliver tangible business value.
...
Preferred:
•Experience with data visualization tools (e.g. Tableau, Power BI)
•Experience in Insurance Industry
•Knowledge of data governance and compliance regulations (e.g. GDPR, HIPAA)
•Experience with agile development methodologies
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1,200 ~ 1,400万円
賞与
-
雇用期間
期間の定めなし
show more