Radiant Technologies Japan
Radiant Japan is a technology recruiting specialist that provides specialist skills across multiple industry sectors of which many share commonality in their technology dependence. IT / Data & Cybersecurity is at the heart of what we do from software to hardware to infrastructure security.
We understand industry life cycles from project to product and understand the ecosystems and value chains that connect the parallel industry sectors we serve.
WILLIAM (DATA) DENHOLM
William has over two decades of proven successful recruitment experience across England , Europe and Asia. Having connections at the highest levels within clients globally.
Upon arriving in Japan , William set up Radiant Japan which specialises solely in providing Data science candidates to clients within Japan with plans already in motion to continue the success and move APAC wide.
If Data is your profession , whether as a candidate or a client or both , I know William and the team would be more than happy to discuss current market trends, opportunities for candidates and also the current market talent pool . Its good to talk.
Data Analysts Insight Analysts Digital Analysts Insight Managers Analytics Consultants Product Managers
Data Engineers Dev Ops Engineers Big Data Achitect Solution Designers Enterprise Architects Head of Data Engineering
Data Scientists Advanced Analytics Leads Data Science Managers Machine Learning Engineers Research Analysts Quantitative Analysts
To support management in consumer segment division to make management decisions by using statistical data analysis and modeling so that the management facing issues coming from operations can make a judgement with information based on more advanced data analysis.
DATA SCIENTIST (KANAGAWA)
DATA SCIENTIST (INSURANCE SECTOR)
Profound knowledge and practical experience on data analytics and machine learning techniques, such as k-NN, Naive Bayes, SVM, Decision Forests.
Experience with common data science toolkits, such as Python, R, SAS, etc. Especially excellence in Python including NumPy, Pandas, Jupyter Notebook is desirable.
3 results found
・To support management in consumer segment division to make management decisions by using statistical data analysis and modeling so that the management facing issues coming from operations can make a judgement with information b...
・Data mining using state-of-the-art methods (developing algorisms and implementing them if necessary)
・Collecting scattered data sources in each companies into preferable state for analysis persistently