Applied Scientist, Creators

Description

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 :

Handle 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.

Basic Qualifications

PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience

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

Preferred Qualifications

Experience in designing experiments and statistical analysis of results

Experience in investigating, designing, prototyping, and delivering new and innovative system solutions

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country / region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000 / year in our lowest geographic market up to $223,400 / year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and / or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

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