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·      Ideal candidate should have a degree in a quantitative field (e.g., mathematics, computer science, physics, economics, engineering, statistics, operations research, quantitative social science, etc.).
·      Basic Knowledge on software development principles and architecture.
·      Good analytical and problem-solving abilities.
·      Ability to break down and understand complex business problems, define a solution, and implement it using advanced quantitative methods.
·      Familiarity with programming for data analysis; ideally Python, SQL, or R.
·      Solid oral and written communication skills, especially around analytical concepts, and methods.
·      Great work ethic and intellectual curiosity.
·      Knowledge of Cloud technologies such as AWS or Google Cloud.
·      Knowledge of any relational database such as My SQL.
·      Must be a team player with excellent communication and problem-solving skills and have experience working with customers across teams.