Responsibilities
\u30fbData mining using state-of-the-art methods (developing algorisms and implementing them if necessary)
\u30fbCollecting scattered data sources in each companies into preferable state for analysis persistently
\u30fbSelecting features, building and optimizing statistical models using machine learning techniques
\u30fbExtending company\u2019s data with third party sources of information when needed
\u30fbProcessing, cleansing, and verifying the integrity of data used for analysis
\u30fbDoing ad-hoc analysis and presenting results in a clear manner
\u25cfSkills and Qualifications
Must:
\u30fbProfound knowledge and practical experience on data analytics and machine learning techniques, such as k-NN, Naive Bayes, SVM, Decision Forests.
\u30fbExperience with common data science toolkits, such as Python, R, SAS, etc. Especially excellence in Python including NumPy, Pandas, Jupyter Notebook is desirable
\u30fbProficiency in using query languages such as SQL, Hive
\u30fbGreat communication skills with not Technique-oriented personality but Solution-oriented one.
Want
\u30fbExperience with data visualisation tools, such as D3.js, GGplot, etc.
\u30fbExperience with NoSQL databases, such as MongoDB, Cassandra, HBase, etc.
Salary Range is up to 15milion yen
Please email me on wdenholm@radiantjapan.com for more information<\/p>\n","protected":false},"excerpt":{"rendered":"