Lead data-driven projects from definition to execution, from gathering data, defining metrics to communicating actionable insights; Propose innovative solutions by exploratory data analysis from complex and high-dimensional datasets, applying statistical and modeling techniques to evaluate performance, make valuable discoveries and solve non-routine analysis problems; Use a flexible, analytical approach to design predictive models and advanced algorithms that lead to optimal value extraction from the data；
Requirements:
BS degree or above in a quantitative discipline (e.g., Statistics, Mathematics, CS) or equivalent practical experience. Industry experience in data science is strongly preferred; High proficiency in fundamental SQL and demonstrated skills in handling terabyte size datasets, diving into data to discover hidden patterns and using visualization tools ((e.g. Tableau, PowerBI) to present results; Experience with statistical software (e.g. R, Python)
Text:
Data Scientist Lead data-driven projects from definition to execution, from gathering data, defining metrics to communicating actionable insights; Propose innovative solutions by exploratory data analysis from complex and high-dimensional datasets, applying statistical and modeling techniques to evaluate performance, make valuable discoveries and solve non-routine analysis problems; Use a flexible, analytical approach to design predictive models and advanced algorithms that lead to optimal value extraction from the data； BS degree or above in a quantitative discipline (e.g., Statistics, Mathematics, CS) or equivalent practical experience. Industry experience in data science is strongly preferred; High proficiency in fundamental SQL and demonstrated skills in handling terabyte size datasets, diving into data to discover hidden patterns and using visualization tools ((e.g. Tableau, PowerBI) to present results; Experience with statistical software (e.g. R, Python)
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