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Location: 7000 Target Pkwy N, Brooklyn Park, Minnesota, United States, 55445JOIN TARGET CYBERSECURITY AS A SENIOR ENGINEER - CYBER FRAUD DETECTION.Full-Time Remote or HybridAbout UsTarget is one of the world's most recognized brands and one of America's leading retailers. But behind the brand our Guests love, is a culture of continual innovation - and right now, we are up to big things. The Cyber Fusion Center is the heart of Target's security team and a place where innovation happens daily. Interested in a culture that combines invention and creative freedom, ongoing learning, engineering excellence, and stellar outcomes? We are, too - that's why we work here.Join our team as a Cyber Fraud and Abuse Detection Engineer and take the lead as you develop custom detection and automate investigation tasks for fraud and abuse across the Target Guest experience. In this role, you will work with a team of skilled engineers and analysts to reliably solve complex problems, while getting hands-on experience with cutting edge technologies. We are looking for skilled developers and data scientists with experience in one or more of the following areas: Python, PySpark / Spark, Tensorflow, Kafka, and API development. We spend our time analyzing data, writing stream processing applications to detect fraud and abuse, and automate prevention. Our work directly protects Target and our Guests. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About You
- 4-year degree in Computer Science, Computer Engineering or equivalent preferred
- 3+ years' relevant experience
- Experience working with Hive, Elasticsearch, postgres or other database technologies
- Experience with Apache Spark or other stream or batch processing frameworks
- Experience with data analysis, detection, and application of machine learning to real world problems
- Experience in cyber threat or fraud detection
- Demonstrated understanding of common web application technologies and basic networking knowledge
- Ability to demonstrate analytical expertise, close attention to detail, excellent critical thinking, logic, and adaptive learning
- Excellent written and oral communication skills
- Willing to work in a team-oriented environment