คุณกำลังดูงานจาก 1 come 10 ของ 14 งาน data scientist
Senior Data Scientist position is accountable for transforming business requirements into plausible data scientist is encouraged to plan, execute and monitor any required actions. In addition, this role
Digithun Worldwide Co., Ltd.
Digithun Worldwide handle the development of our internal big data and our partner through your understanding and knowledge of all things data management. Responsibilities Design and develop ETL/ELT
Responsibilities Working with cutting-edge data-driven solutions to client problems Design and statistical computer languages ( Python, SLQ, etc.) to manipulate data and draw insights from large data sets
Conicle Co., Ltd.
software Literature review on related topic Design and develop dataset on database, data warehouse or data lake depended on scale and use case of that data product Design and develop machine learning
Bizcuit Data And Research Solution Co., Ltd.
Research and Big Data projects Analyze and provide the insights and turn into the actionable business the field of Consulting or Marketing or Data Analytics. Good knowledge in Marketing and Business
Responsibilities: Data collection, transformation, and aggregation from external and internal recommendations based on relevant data to clients Combining data analytics and data visualization techniques to
CPF IT Center Co.,Ltd
,Data Lake, Dashboard / Reports, analytics) based on given software requirements, following team's , data mining is a plus · Good command in English. · Able to work effectively as team
Your role description: Have you heard about AI, Machine Learning, Big Data Analytics? Join together to be a part of building team for the Big Data Analytics and AI platform.
Responsibilities Develop ETL processes that convert data into formats through a team of data improve data models that feed business intelligence tools, increasing data accessibility and fostering
Big Data Agency Company Limited
Responsibilities1. Design, construct, install, test and maintain data management systems.2. Build business/company requirements as well as industry practices.4. Develop set processes for data mining