Amazon Recruitment – Data Scientist

• 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.
• Be the primary point of contact during compromise outbreaks – including analyses to identify and apply responses.
• 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.
• Collaborate in a fast paced environment with multiple teams and customers in a dynamic entrepreneurial organization.
• Keep up with and contribute to the progress of the Amazon and broader ML research communities in the context of AUP violations
• 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.

Job Requirements:

• Ability to work in a fast-paced, ambiguous environment while prioritizing and managing multiple responsibilities.
• Deep understanding of Statistical Analysis, Modeling and Machine Learning techniques.
• Excellent problem solving skills with a strong attention to detail.
• Proficiency in at least one of the following languages: Python/Perl, R/Matlab, Java, C/C++, Scala Problem solving ability
• Ability to dive deep into complex technical problems and drive change.

Qualification & Experience:

• 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)
• 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
• Bachelor’s degree and 5 years of relevant experience
• Algorithm and model development experience for large-scale applications