DESCRIPTION

Job summary
Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.

As a Data Scientist, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, you should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impact the bottom line of the business.

Key job responsibilities

Analyze terabytes of data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazon’s platform and transactions
Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time
Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping
Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams
Develop efficient data querying infrastructure for both offline and online use cases
Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes
Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use
Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations
Provide mentorship and technical guidance to Data Scientists on the team

BASIC QUALIFICATIONS

Bachelor’s degree in any quantitative discipline such as Statistics, Computer Sciences, Quantitative Finance or Operations Research with 5+ years of work experience
Experience/knowledge of machine learning techniques such as GBM, random forest, etc.
Experience in statistical techniques such as classification, clustering, regression, statistical inference etc.
Experience with data scripting languages (e.g. Python and SQL)
Demonstrate understanding and experience with relational data sets, data warehouses, data mining and data analysis techniques

PREFERRED QUALIFICATIONS

Master’s degree in any quantitative discipline such as Statistics, Computer Sciences, Quantitative Finance or Operations Research with 2+ years of work experience
Detail oriented and an aptitude for solving unstructured problems
Ability to work effectively in a multi-task, high volume environment
Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations