About the Role.
As a Data Scientist, your responsibilities will include:
· Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful.
· Apply state-of-the-art Machine Learning methods to large amounts of data from different sources to build and operationalize abuse prevention, detection and mitigation solutions.
· Keep up with and contribute to the progress of the Amazon and broader ML research communities in the context of AUP violations
· Deep dive on the problems using SQL and scripting languages like Python/R to drive short term and long term solutions leveraging Statistical Analysis.
· Analyze data (past customer behavior, sales inputs, and other sources) to identify trends, create compromise prevention and mitigation solutions and output reports with clear recommendations.
· Collaborate closely with the development team to recommend and build innovations based on Data Science.
· Help with escalations from AWS Management for AUP violations, Abuse, compromise and related activities.
· Be the primary point of contact during compromise outbreaks – including analyses to identify and apply responses.
· Collaborate in a fast paced environment with multiple teams and customers in a dynamic entrepreneurial organization.
The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and ability to work in a fast-paced and ever-changing environment.
· Bachelor's degree and 5 years of relevant experience or a Master's degree and 3 years of relevant experience
· Algorithm and model development experience for large-scale applications
· Proficiency in at least one of the following languages: Python/Perl, R/Matlab, Java, C/C++, Scala Problem solving ability
· Deep understanding of Statistical Analysis, Modeling and Machine Learning techniques.
· Hands-on professional experience with applying machine learning and other data science techniques to identify anomalous behavior patterns (e.g., user or machine anomalies) in a production environment
· Experience with extracting, cleaning, and transforming data and working with data owners to understand the data
· Professional experience using database languages, such as SQL, and common data scientist software development and statistical analysis tools (e.g., Python, R, Scikit-learn)
· Ability to dive deep into complex technical problems and drive change.
· Excellent problem solving skills with a strong attention to detail.
· Ability to work in a fast-paced, ambiguous environment while prioritizing and managing multiple responsibilities.
· 3+ years of experience as Machine Learning Scientists, Data Scientists and/or Business Intelligence Engineers
· Track record of implementing and deploying large scale machine learning applications and tools
· Proficiency in model development, model validation and model implementation for large-scale applications
· Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences
· Experience and proficiency with AWS technologies (EC2, CloudTrail, S3, SageMaker, Lambda, DynamoDB, RDS, etc.) and Big Data technologies.
· Demonstrated skill and passion for operational excellence.
· 1+ year of work experience in applying data science to physical security, network security, or abuse related problems
