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Data Scientist

株式会社サイバーエージェント

  • Python
  • SQL
  • BigQuery
  • R
  • Tableau
  • Hive
  • Shell
  • Work Location Tokyo
  • Company employee count 1,001 to 10,000

Company Info

The data strategy department of a cyber agent analyzes and utilizes data to support business in a state where data infrastructure and various development and analysis tasks are performed. We support the growth of businesses that utilize data by implementing data infrastructure and various development and analysis tasks.

Job Summary

We will gather and integrate support for decision-making and improvement support for data analysis and machine learning systems. Data analysis includes data processing, data collection, data analysis, strategy implementation, effect verification, and various support measures for problem discovery and resolution in collaboration with machine learning engineers and data scientists.

Duties

As a data scientist for Ameba, we will gather and integrate support for decision-making and improvement support for data analysis and machine learning systems. In specific tasks, we will gather and integrate support for decision-making and improvement support for data analysis and machine learning systems, such as data processing, data collection, data analysis, strategy implementation, effect verification, and various support measures for problem discovery and resolution in collaboration with machine learning engineers and data scientists, and we will work to strengthen the value and quality of services such as ABEMA and Tapple, and to optimize data analysis tasks, and to conduct business analysis tasks, and to provide support for the standardization of data analysis tasks. We will also conduct business analysis tasks, and provide support for the standardization of data analysis tasks. We will also create data visualization dashboards for KPI design and current state capture, propose solutions to identified support issues, and perform tasks such as predicting KPIs using past data, and conducting research and development of ML systems such as ML system algorithms and development support for AB test effectiveness measurement and search for causes. We will also conduct business analysis tasks, and provide support for the standardization of data analysis tasks. We will also create data visualization dashboards for KPI design and current state capture, propose solutions to identified support issues, and perform tasks such as predicting KPIs using past data, and conducting research and development of ML systems such as ML system algorithms and development support for AB test effectiveness measurement and search for causes. We will also use technologies such as Python, R, Tableau, SQL, Hive, Bigquery, and Shell to gather and integrate support for work.

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Data Scientist

株式会社サイバーエージェント

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