Applied Science Manager, Amazon
Job title: Applied Science Manager, Amazon in Seattle, WA at Amazon
Company: Amazon
Job description: DESCRIPTIONWe are seeking an Applied Science manager to join the Whole Page Planning and Optimization (WPPO) Science team in Search. The latest data from Business Insider shows that almost 50% of online shoppers visit Amazon first. The Search WPPO Science team is responsible for developing reinforcement learning systems for the next generation Amazon shopping experience and delivering it to millions of customers. We believe that shopping on Amazon should be simple, delightful, and full of WOW moments for EVERYONE, whether you are technically savvy or new to online shopping.Key job responsibilities
As the manager of Applied Science, you are responsible for defining and executing on the science vision. You will lead teams of scientists and engineers to work backwards from customer needs and translate product ideas into concrete deliverables. You will be the thought leader for inventing scalable AI solutions that support flexible UI frameworks. You will solve hard problems, advance science at Amazon, and be the leading innovator in e-commerce. In this role, you will work with a team of applied scientists, engineers, product managers, and UX designers to shape the future of Amazon shopping. You will be working with massive data and draw insights. Your team's work is visible to millions of customers.BASIC QUALIFICATIONS- ·Master's degree in Computer Science, Statistics, Electrical Engineering, or Mathematics with specialization in specialization in statistical modeling, deep learning, and reinforcement learning.
- 5+ years of working experience in solving machine learning problems and deploying science solutions for large-scale applications
- 2+ years of experience leading a team of scientists and engineers Knowledge of programming languages such as C/C++, Python, Java
- Excellent written and verbal communication skillsPREFERRED QUALIFICATIONS- PhD degree in Computer Science, Statistics, Electrical Engineering, or Mathematics with specialization in specialization in statistical modeling, deep learning, reinforcement learning, or personalized recommendation.
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
- Strong publication record at top ML conferences and journals
- Experience in delivering science solution for customer-facing features in e-commerce
- Strong verbal and written communications skills; experience presenting complex technical information, succinctly, to technical and non-technical audiencesAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.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 $165,500/year in our lowest geographic market up to $286,000/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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Expected salary: $165500 per year
Location: Seattle, WA
Apply for the job now!
Apply Now
Company: Amazon
Job description: DESCRIPTIONWe are seeking an Applied Science manager to join the Whole Page Planning and Optimization (WPPO) Science team in Search. The latest data from Business Insider shows that almost 50% of online shoppers visit Amazon first. The Search WPPO Science team is responsible for developing reinforcement learning systems for the next generation Amazon shopping experience and delivering it to millions of customers. We believe that shopping on Amazon should be simple, delightful, and full of WOW moments for EVERYONE, whether you are technically savvy or new to online shopping.Key job responsibilities
As the manager of Applied Science, you are responsible for defining and executing on the science vision. You will lead teams of scientists and engineers to work backwards from customer needs and translate product ideas into concrete deliverables. You will be the thought leader for inventing scalable AI solutions that support flexible UI frameworks. You will solve hard problems, advance science at Amazon, and be the leading innovator in e-commerce. In this role, you will work with a team of applied scientists, engineers, product managers, and UX designers to shape the future of Amazon shopping. You will be working with massive data and draw insights. Your team's work is visible to millions of customers.BASIC QUALIFICATIONS- ·Master's degree in Computer Science, Statistics, Electrical Engineering, or Mathematics with specialization in specialization in statistical modeling, deep learning, and reinforcement learning.
- 5+ years of working experience in solving machine learning problems and deploying science solutions for large-scale applications
- 2+ years of experience leading a team of scientists and engineers Knowledge of programming languages such as C/C++, Python, Java
- Excellent written and verbal communication skillsPREFERRED QUALIFICATIONS- PhD degree in Computer Science, Statistics, Electrical Engineering, or Mathematics with specialization in specialization in statistical modeling, deep learning, reinforcement learning, or personalized recommendation.
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
- Strong publication record at top ML conferences and journals
- Experience in delivering science solution for customer-facing features in e-commerce
- Strong verbal and written communications skills; experience presenting complex technical information, succinctly, to technical and non-technical audiencesAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.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 $165,500/year in our lowest geographic market up to $286,000/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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Expected salary: $165500 per year
Location: Seattle, WA
Apply for the job now!
Apply Now