Research Scientist Ii, Devices

5 days ago

Bengaluru, India ADCI - Karnataka Full time

Basic qualifications Masters in Machine learning, Information science, Engineering, Statistics, Computer science or a highly quantitative field Masters with 3+ years of equivalent experience will be considered with hands-on experience developing and implementing machine learning algorithms and/or statistical models Proven ability to relate to and solve business problems through machine learning and statistics
Job summary We are looking for Research Scientist to join our efforts to build the next generation of analytics systems measuring marketing ROI using machine learning and econometrics at big data scale at Amazon. You will work with distributed machine learning and statistical algorithms across multiple platforms to harness enormous volumes of online data at scale to match customers and products/offers based on probabilistic reasoning. The Research Scientist will be a technical player in a team working to develop ultra-scale platforms for machine learning, and help develop new, revolutionary approaches that optimizes Amazon systems using cutting edge quantitative techniques. You need to be fluid in: - Data warehousing and EMR (Hive, Pig, R, Python) - Feature extraction, feature engineering and feature selection - Machine learning, causal modeling, statistical algorithms and recommenders - Model evaluation, validation and deployment - Experimental design and testing About the team Our mission is to create the best measure of customer long-term value for driving optimal decisions across Amazon. Our team works at the intersection of Engineering, Data Science, and Statistics with a diverse and unique mix of talent (SDEs, DEs, Economists, Applied Scientists, Research Scientists, Product Managers) collaborating each day to invent and implement cutting edge research solutions for Amazon’s benefit. Our work is the “secret sauce” for how human and automated decision making at Amazon incorporates trade-offs between short-term and long-term financial benefits.
- PhD in Machine learning, Information science, Engineering, Statistics, Computer science or a highly quantitative field
- Strong skills and experience with programming in SQL, Hive, Pig, R, SAS macros and familiarity/experience with AWS

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