Data Scientist
澪標アナリティクス株式会社
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¥6,600,000 - 12,000,000
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Tokyo
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11 to 100
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Company Homepage
魅力ポイント
データサイエンス技術とオープンな開発文化が融合する職場
2024年1月時点での特徴として、社内の技術スタックはPythonを中心に、機械学習フレームワークではPyTorchやTensorFlowを活用しています。出典
また、チーム間のコミュニケーションを重視し、エンジニアが主体的に技術選定や設計に関与できる環境が整っています。
技術的な知見の共有も活発で、社内勉強会や外部コミュニティとの交流を通じて継続的な学習機会が提供されています。
(https://www.wantedly.com/companies/reika/post_articles/405540) さらに、データ分析基盤の開発では、最新のクラウドテクノロジーを採用し、効率的なデータパイプラインの構築に取り組んでいます。
チームメンバーは互いの専門性を活かしながら、プロジェクトの価値向上に貢献できる体制が整えられています。出典
Duties
As a data scientist, you will be required to actively apply technology for technical improvement in data analysis, which includes statistical analysis, data mining, and numerical optimization, and contribute to the resolution of client issues. We will define our unique "data analysis" that includes AI, and propose improvement measures for business issue resolution, and contribute to the resolution of client issues. Additionally, we seek activities related to the development of the data analysis field, obtaining the latest technology approvals, joint research with the United States, and practical experience in overseas technical teams.
Requirements
More than 5 years of social experience, practical experience in consulting for IT strategies (3 years or more), PM experience, proposal for system development/system introduction, experience in conflict resolution with clients, and adjustment of expectations. Practical experience in machine learning, statistics (1 year or more), knowledge related to public cloud platforms such as ERP, Salesforce, and other SaaS, and the ability to acquire knowledge related to data analysis and DX, and understanding of basic data structure and large-scale data extraction and processing
Welcomed Skills
Development experience of AI including POC, practical experience in data analysis, machine learning, theoretical understanding of statistics, experience in application development using RDBMS, experience in LAMP environment construction, practical experience in cloud platform utilization (AWS, GCP, Azure), development/operation experience of cloud services (SaaS, etc.), practical experience in business utilization of analysis tools (BI tools), introduction/operation experience of ERP, Salesforce, and other SaaS, PaaS