Senior Applied Scientist, Seller Growth Science
Job Description
Join us in the evolution of Amazon’s Seller business! The Seller Growth Science organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources.We are looking for a Senior Applied Scientist to lead us to identify data-driven insight and opportunities to improve our SP growth strategy and drive new seller success. As a successful applied scientist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user and builder of statistical models and put them in production to answer specific business questions. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research).Key job responsibilitiesAs a Sr. Applied Scientist in the team, you will:- Identify opportunities to improve SP growth and development process and translate those opportunities into science problems via principled statistical solutions (e.g. ML, causal, RL).- Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in MLOps.- Design and lead roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers.- Work with our engineering partners and draw upon your experience to meet latency and other system constraints.- Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver.- Be responsible for communicating our science innovations to the broader internal & external scientific community.
Locations
- United States, WA, Seattle, Seattle, WA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
200,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 4+ years of applied research experienceintermediate
- - 3+ years of building machine learning models for business application experienceintermediate
- - PhD, or Master's degree and 6+ years of applied research experienceintermediate
- - Experience programming in Java, C++, Python or related languageintermediate
- - Experience with neural deep learning methods and machine learningintermediate
Required Qualifications
- - 4+ years of applied research experience (experience, 4 years)
- - 3+ years of building machine learning models for business application experience (experience, 3 years)
- - PhD, or Master's degree and 6+ years of applied research experience (experience, 6 years)
- - Experience programming in Java, C++, Python or related language (experience)
- - Experience with neural deep learning methods and machine learning (experience)
Preferred Qualifications
- - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. (experience)
- - Experience with large scale distributed systems such as Hadoop, Spark etc. (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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 a Sr. Applied Scientist in the team, you will:
- - Identify opportunities to improve SP growth and development process and translate those opportunities into science problems via principled statistical solutions (e.g. ML, causal, RL).
- - Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in MLOps.
- - Design and lead roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers.
- - Work with our engineering partners and draw upon your experience to meet latency and other system constraints.
- - Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver.
- - Be responsible for communicating our science innovations to the broader internal & external scientific community.
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Senior Applied Scientist, Seller Growth Science
Job Description
Join us in the evolution of Amazon’s Seller business! The Seller Growth Science organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources.We are looking for a Senior Applied Scientist to lead us to identify data-driven insight and opportunities to improve our SP growth strategy and drive new seller success. As a successful applied scientist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user and builder of statistical models and put them in production to answer specific business questions. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research).Key job responsibilitiesAs a Sr. Applied Scientist in the team, you will:- Identify opportunities to improve SP growth and development process and translate those opportunities into science problems via principled statistical solutions (e.g. ML, causal, RL).- Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in MLOps.- Design and lead roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers.- Work with our engineering partners and draw upon your experience to meet latency and other system constraints.- Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver.- Be responsible for communicating our science innovations to the broader internal & external scientific community.
Locations
- United States, WA, Seattle, Seattle, WA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
200,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 4+ years of applied research experienceintermediate
- - 3+ years of building machine learning models for business application experienceintermediate
- - PhD, or Master's degree and 6+ years of applied research experienceintermediate
- - Experience programming in Java, C++, Python or related languageintermediate
- - Experience with neural deep learning methods and machine learningintermediate
Required Qualifications
- - 4+ years of applied research experience (experience, 4 years)
- - 3+ years of building machine learning models for business application experience (experience, 3 years)
- - PhD, or Master's degree and 6+ years of applied research experience (experience, 6 years)
- - Experience programming in Java, C++, Python or related language (experience)
- - Experience with neural deep learning methods and machine learning (experience)
Preferred Qualifications
- - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. (experience)
- - Experience with large scale distributed systems such as Hadoop, Spark etc. (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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 a Sr. Applied Scientist in the team, you will:
- - Identify opportunities to improve SP growth and development process and translate those opportunities into science problems via principled statistical solutions (e.g. ML, causal, RL).
- - Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in MLOps.
- - Design and lead roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers.
- - Work with our engineering partners and draw upon your experience to meet latency and other system constraints.
- - Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver.
- - Be responsible for communicating our science innovations to the broader internal & external scientific community.