Data Scientist

2020-06-11 | po-019341


This company does the Digital Transformation of top companies and looking ahead to the digital society of the future. Tokyo consists of three zones, the “Innovation Lab,” “Insights Center” and “Technology Center.” Artificial intelligence, Blockchain, Data Analytics, Machine learning.
Their mission is to advance the efficiency of each group through data analytics, artificial intelligence and block chain technology. They will service within their own organization as well as outside companies.


1. Translate advanced business analytic problems into technical approaches that yield actionable recommendations,in diverse domains such as risk management, product development, marketing research, supply chain, and public policy; communicate results and educate others through insightful visualizations, reports and presentations.
2. Perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships
3. Retrieve, prepare, and process a rich data variety of data sources such as social media, news, internal/external documents, emails, financial data, legal data, and operational data.
4. Analyze and model structured data and implement algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, econometrics, and operations research.
5. Perform Statistical Natural Language Processing to mine unstructured data, using methods such as document clustering, topic analysis, named entity recognition, document classification, and sentiment analysis.
6. Work on implementing complex data projects with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple skill sets. These include code development and deployment, supporting data processing pipelines; data mining/science algorithms; and visualization engineering.


1. Knowledge/experience in statistics, data mining, machine learning, and/or natural language processing(NLP) and computer vision.
2. Advanced degree in quantitative field like math, statistics, operations research, engineering, computer science or econometrics.
3. More than 3 years (continuous) hands-on experiences in at least one of the following programming languages: Python/R/Java/Scala/C++.
4. Experience with command-line scripting, data structures, and algorithms; ability to work in a Linux environment.
5. Capable of picking up new languages and technologies quickly; understanding of cloud and distributed systems principles.



Image Description
コンサルティング 業界
東京 勤務地
6 - 11 million 給与
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