With the expansive data we have our job is to build meaningful data relationships and engagement experiences for our internal customers. If youre interested in being a part of a team thats constantly learning and problem-solving wed love to talk with you. As a Software Engineer on the SDS team you will work closely with Machine Learning Engineers and other Software Engineers to lead the design and implementation of systems and tools to support the fraud prevention efforts of SDS. You will be: Developing and implementing production software for preventing fraud Responsible for system architecture design Working with external infrastructure teams to drive the development of infrastructure needs Innovating by recognizing opportunities for automation and tools improvements Responsible for developing and implementing process improvements to bring efficiency and stability to fraud analytics Responsible for technical leadership for a team of data scientists Lead the team to increase the level of maturity and skill in analytical software development Responsible for release engineering
Mastery of one of Python Java Scala C or equivalent language
3 years of experience in software engineering/data science
Experience building data science or data analysis tools on Hadoop/cloud based systems
BS or advanced degree in Computer Science related field or equivalent experience
Some experience with Docker Kubernetes or cloud platform deployment
Experience with Relational databases and NoSQL databases
Demonstrated understanding of the full software development lifecycle
Excellent problem solving critical thinking and communication skills
Solid grasp of computer science fundamentals including data structures and algorithms
Solid ability to evaluate and apply new technologies in a short time
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