Applied Scientist II

Job ID: 1193348 | Amazon.com Services LLC

DESCRIPTION

Are you excited to be a member of a new science and analytics team?
Are you passionate to generate insights using scientific solutions?
Are you the one who is full of ideas?

The Customer Behavior Analytics (CBA) Org builds products from the ground up to serve internal teams. Products we developed include Downstream Impact (DSI) framework, Customer Targeting applications, and A/B testing platforms. We use cutting edge technologies that fuse Big Data with concepts from Machine Learning, Economics, and Data Science. These innovations help make strategic investment decisions and define the customer engagement metrics by which Amazon runs its business globally.

The High Value Message (HVM) Analytics team within CBA is looking for an Applied Scientist to make an impact on how Amazon influences our shopper's perception. 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. Our primary partners are Cross Channel Marketing and Digital Corporate Advertising team. A successful Applied Scientist has an entrepreneurial spirit and want to make a big impact on Amazon and our shoppers. You are excited about cutting-edge research on Deep Learning, Natural Language Processing (NLP), causal inference, and experimental design. You enjoy building massive scale and high-performance systems but also have a bias for delivering simple solutions to complex problems. We are looking for a thought leader and you demonstrate this by deploying solutions into production, not just by having ideas. We encourage you to challenge yourself and others to come up with better solutions. You will develop strong working relationships and thrive in a collaborative team environment. You need to be fluid in:
AWS services (e.g. EMR, s3).
Feature extraction, feature engineering and feature selection.
Machine learning, statistical algorithms and recommenders.
Model evaluation, validation and deployment.
Casual Inference.
Experimental design and testing.


BASIC QUALIFICATIONS

· A PhD in machine learning, information science, engineering, statistics or a highly quantitative field. Masters with equivalent experience will be considered.
· Proven ability to relate to and solve business problems through machine learning and statistics.
· 3+ years of hands-on experience developing and implementing machine learning algorithms and/or statistical models.
· Programming, prototyping and scripting skills (Pig, Spark, Python, R).
· Technical writing, communication and presentation skills.

PREFERRED QUALIFICATIONS

· A PhD in machine learning, information science, engineering, statistics or a highly quantitative field. Masters with equivalent experience will be considered.
· Proven ability to relate to and solve business problems through machine learning and statistics.
· 3+ years of hands-on experience developing and implementing machine learning algorithms and/or statistical models.
· Programming, prototyping and scripting skills (Pig, Spark, Python, R).
· Technical writing, communication and presentation skills. x

Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.