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Job Description:
Role and responsibilities
Lead complex, multifunctional data science projects
Work with large volumes of data; extract and manipulate large datasets using standard tools such as Python, R, H2O, Hadoop and SQL
Analyze data to identify trends, perform root cause analysis and test hypotheses.
Advance degree (MS or PhD) in science or engineering field with 2+ years of relevant experience
Experience in leading cross-functional, highly complex Data Science projects
Data Mining experience in Python, R, H2O and/or SAS. Familiar with various Machine Learning algorithms and Statistical methods
Ability to deal with large amount of data and fluency with SQL or SQL-like tools.
Financial services or eCommerce experience a big plus
Our Benefits:
Any general requests for consideration of your skills, please
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