Amazon Pay Data and Analytics team is looking for an experienced Senior Applied Scientist with excellent ML/science technical skills. If you are a selfstarter someone who thrives in a fastpaced environment with a passion for building scalable longterm solutions then you are the right candidate for our team. In this role the candidate would work closely with tech teams and product/program across US EU and JP to build scalable ML/science models. You will be responsible for driving innovation across a wide range of science initiatives from natural language processing and conversational AI to econometric modeling and ROIbased optimization.
The position is based in Bangalore. We are looking for someone who can familiarize themselves with a dynamic environment build relationships with crossfunctional teams and assume ownership for a broad array of domains. Our team achieves results through collaboration and clear goals.
Key job responsibilities
Drive and lead strategic initiatives to employ the most recent advances in ML/AI in a fastpaced experimental environment
Build AI/ML models to generate actionable insights for the business
Create tools and solve challenges using machine learning optimization and/or other approaches for quantifiable impact on the business
Use broad expertise to recommend the right strategies methodologies and best practices teaching and mentoring others
Key influencer of your teams business strategy and of related teams strategies
Communication and documentation of methodologies insights and recommendations for senior leaders with various levels of technical knowledge
3 years of building machine learning models for business application experience
PhD or Masters 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
Experience in building machine learning models for business application
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
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