Amazon's Artificial General Intelligence (AGI) team aims to build world-class general-purpose intelligence services that benefit every Amazon business and humanity. This role seeks to leverage data and AI/ML to derive insights, build models, and develop metrics to understand and improve system performance, ultimately driving customer impact.
Requirements
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Experience with statistical models e.g. multinomial logistic regression
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience managing data pipelines
- Experience working with scientists, economists, software developers, or product managers
- Experience working with data engineers and business intelligence engineers collaboratively
Responsibilities
- apply advanced analytics techniques, AI/ML, and statistical concepts to derive insights from massive datasets
- write code for building models and pipelines to automate data and analytics processing
- design experiments, build models, and develop appropriate metrics to deeply understand the strengths and weaknesses of our systems
- build dashboards to automate data collection and reporting of relevant data streams, providing leadership and stakeholders with transparency into our system's performance
- turn their findings into actions by writing detailed reports and providing recommendations on where we should focus our efforts to have the largest customer impact
- help coach/mentor junior scientists in the team
- effectively communicating results and insights to both technical and non-technical audiences
Other
- 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- A successful candidate should be a self-starter, comfortable with ambiguity with strong attention to detail, and have the ability to work in a fast-paced and ever-changing environment.
- Experience as a leader and mentor on a data science team
- excellent verbal and written communication skills
