Data Scientist
September 25
Description
• Help clients extract information from structured and unstructured data • Apply data mining techniques and statistical analysis • Build high quality prediction systems • Enhance data collection procedures • Process and cleanse data for analysis • Define approaches for data mining • Extend company’s data with third party sources • Conduct ad-hoc analysis and R&D • Create automated anomaly detection systems
Requirements
• PhD in Data Science, Computer Science, Statistics or other related fields • Real world experience of solving business problems using machine learning, data mining, data analysis • Data-oriented personality • Excellent understanding of machine learning techniques and algorithms • Experience with common data science toolkits (such as R, Weka, NumPy, MatLab, etc.) • Great communication skills • Experience with data visualization tools • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
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