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
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
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
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