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Sr. Machine Learning Scientist

Sr. Machine Learning Scientist

Job ID 
Posted Date 
Amazon Web Services, Inc.
Position Category 
Machine Learning Science
Recruiting Team 

Job Description

AWS Support is one of the largest and fastest growing business units within AWS. We are a highly technical, innovative organization revolutionizing the customer engagement processes and offers topnotch technical support for the portfolio of products and features of AWS. We are determined to redefine the word “support” and lead the industry with best in class technology.

AWS Support is building a world-class Machine Learning team to facilitate delivery of tools and metrics incorporating insights and predictions generated by mining large volumes of structured and unstructured data sources available within AWS Support using Machine Learning (ML) and Natural Language Processing (NLP). Our data sets include chat logs, call audio logs, email transcripts, feedback texts, agent data, case data, customer data, usage data, and knowledge docs. We are aiming to develop and implement predictive ML models to aid/improve Service Level, Agent Productivity, Customer Satisfaction, Dynamic Routing, Case Deflection, Knowledge Recommendation, Optimal Case Handling, Proactive Case Prediction/Resolution, Sentiment Analysis of Customer Correspondence, Customer Retention etc.

We’re looking for Machine Learning Scientists with unfettered curiosity and drive to solve major challenges at the intersection customer engagement and technical support. You will be a key driver in taking an idea to experimentation to prototyping and then to implementation. You will perform machine learning at petabyte scale to identify patterns and anomalies.

Major responsibilities

· Work closely with the business to understand the problem space, identify the opportunities and formulate the problems
· Use machine learning, data mining, statistical techniques and others to create actionable, meaningful, and scalable solutions for the business problems.
· Analyze and extract relevant information from large amounts of AWS Support data to help automate and optimize key processes
· Design, develop and evaluate highly innovative predictive ML models
· Interact with software engineering teams to build data platforms for large-scale data analysis and modeling
· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
· Research and implement novel machine learning and statistical approaches.

Basic Qualifications

· MS in Machine Learning, Data Science, Computer Science, Statistics, Applied Mathematics or in another highly quantitative field
· 5+ years of hands-on experience in machine learning learning, predictive modeling and analysis
· Ability to distill problem definitions, models and constraints from informal business requirements, and to deal with ambiguity and competing objectives
· Proficiency in SQL
Demonstrated ability to take a ML project from idea to experimentation to prototype to implementation
· Experience using R, MATLAB or other statistical software
· Excellent communication and data presentation skills
· A natural curiosity and desire to learn and adopt.

Preferred Qualifications

PhD in Machine Learning, Data Science, Computer Science, Statistics, or Applied Mathematics.
. Experience in deep learning.
· Experience handling gigabyte and terabyte size datasets.
· Experience in developing solutions for real-world applications.
· Knowledge of relational databases.
· Experience working with distributed systems.

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