Amazon is building innovative products and experiences to drive growth for creators across its ecosystem, aiming to make it the most desired destination for creators to monetize their skills, inspire customers, and expand brand reach. The team owns the entire Creator product suite, focusing on a cohesive experience, optimized compensation, and feature launches to help creators achieve their goals.
Requirements
- Experience programming in Java, C++, Python or related language
- 2+ years of building models for business application experience
- 2+ years of hands-on predictive modeling and large data analysis experience
- Experience in designing experiments and statistical analysis of results
- Experience in investigating, designing, prototyping, and delivering new and innovative system solutions
Responsibilities
- Develop and deliver scalable predictive models, using any necessary programming, machine learning, and statistical analysis software
- Independently collect and analyze data
- Collaborate with other scientists, engineers, product managers, and business teams to creatively solve problems, measure and estimate risks, and constructively critique peer research
- Consult with engineering teams to design data and modeling pipelines which successfully interface with new and existing software
- Participate in design and implementation across teams to contribute to initiatives and develop optimal solutions that benefit the creators organization
- Handle challenging problems that directly impact millions of creators and customers
Other
- The successful candidate is a self-starter, comfortable with a dynamic, fast-paced environment, and able to think big while paying careful attention to detail.
- You have deep knowledge of an area/multiple areas of science, with a track record of applying this knowledge to deliver science solutions in a business setting and a demonstrated ability to operate at scale.
- You excel in a culture of invention and collaboration.
- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience
