About The Role As an applied scientist on our team, you will help build the next generation of case routing using artificial intelligence to optimize business metric targets. You will develop machine learning models and pipelines, harness and explain rich data at Amazon scale, and provide automated insights to improve case routing that impacts millions of customers every day. You will be a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. Key Job Responsibilities Deliver real world production systems at AWS scale. Work closely with the business to understand the problem space, identify opportunities, and formulate problems. Use machine learning, data mining, statistical techniques, Generative AI and others to create actionable, meaningful, and scalable solutions for the business problems. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. Analyze complex support case datasets and metrics to drive insight. Design, build, and deploy effective and innovative ML solutions to optimize case routing. Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production. Drive collaborative research and creative problem solving across science and software engineering teams. Propose and validate hypotheses to deliver and direct our product road map. Work with engineers to deliver low latency model predictions to production. Basic Qualifications 6+ years of building machine learning models or developing algorithms for business application experience. PhD, or Master’s degree and 6+ years of applied research experience. Experience programming in Java, C++, Python or related language. Experience with neural deep learning methods and machine learning. Preferred Qualifications Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc. Experience with large scale distributed systems such as Hadoop, Spark, etc. Location We are open to hiring candidates to work out of one of the following locations: Cape Town, ZAF. Equal Opportunity Statement Amazon is an equal opportunities employer, and we value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief. Amazon is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae. #J-18808-Ljbffr