Applied Scientist, Creators
Amazon.com
Are you a passionate Applied Scientist (AS) ready to shape the future of digital content creation? At Amazon, we're building Earth's most desired destination for creators to monetize their unique skills, inspire the next generation of customers, and help brands expand their reach. We build innovative products and experiences that drive growth for creators across Amazon's ecosystem. Our team owns the entire Creator product suite, ensuring a cohesive experience, optimizing compensation structures, and launching features that help creators achieve both monetary and non-monetary goals.
Key job responsibilities
As an AS on our team, you will:
* tackle challenging problems that directly impact millions of creators and customers
* independently collect and analyze data
* develop and deliver scalable predictive models, using any necessary programming, machine learning, and statistical analysis software
* 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
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.
Key job responsibilities
As an AS on our team, you will:
* tackle challenging problems that directly impact millions of creators and customers
* independently collect and analyze data
* develop and deliver scalable predictive models, using any necessary programming, machine learning, and statistical analysis software
* 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
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.
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