Applied Scientist, Creators
Job 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 responsibilitiesAs 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 organizationThe 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.
Locations
- United States, WA, Seattle, Seattle, WA, United States
- United States, NY, New York, New York, NY, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
180,000 - 320,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - PhD, or Master's degree and 2+ years of CS, CE, ML or related field experienceintermediate
- - Experience programming in Java, C++, Python or related languageintermediate
- - 2+ years of building models for business application experienceintermediate
- - 2+ years of hands-on predictive modeling and large data analysis experienceintermediate
Required Qualifications
- - PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience (experience, 2 years)
- - Experience programming in Java, C++, Python or related language (experience)
- - 2+ years of building models for business application experience (experience, 2 years)
- - 2+ years of hands-on predictive modeling and large data analysis experience (experience, 2 years)
Preferred Qualifications
- - Experience in designing experiments and statistical analysis of results (experience)
- - Experience in investigating, designing, prototyping, and delivering new and innovative system solutions (experience)
- 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
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.
