Amazon
Sr. Manager, Applied Science, Seller Growth Business
Amazon, Seattle, Washington, us, 98127
Sr. Manager, Applied Science, Seller Growth Business
Job ID: 2813655 | Amazon.com Services LLC - A57Join us in the evolution of Amazon’s Seller business! The Seller Growth Business 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 by using our scaled, automated, and self-service tools.We aim to accelerate the growth of Sellers by providing tools, insights, and recommendations that enable them to make better and faster decisions at each step of selection management. To accomplish this, we offer intelligent insights that are both detailed and actionable, allowing Sellers to introduce new products and engage with customers effectively. We leverage extensive structured and unstructured data to generate science-based insights about their business. Furthermore, we provide personalized recommendations tailored to individual Sellers' business objectives in a user-friendly format. These insights and recommendations are integrated into our products, including Amazon Brand Analytics (ABA), Product Opportunity Explorer (OX), and Manage Your Growth (MYG). Additionally, we leverage state-of-the-art technology, such as Gen AI to enable efficient insights consumption and recommendation digestion for Sellers, as well as providing interactive experiences to Sellers using our tools.We are looking for a talented and passionate Sr. Applied Science manager to lead our research endeavors and develop world-class statistical and machine learning models. The successful candidate will work closely with Product Managers (PM), User Experience (UX) designers, engineering teams, and Seller Growth Consulting teams to provide actionable insights that drive improvements in Seller businesses.
Key job responsibilitiesYour responsibilities will include:
Taking full service ownership of your teams including developing research and engineering (product roadmaps), developing and tracking relevant metrics, and ensuring system performance.Ensuring the team are publishing high-quality research in top conferences and journals, which are also directly impactful for our customers.Delivering against project plans and program commitments.Managing the day-to-day activities of a combined science and engineering team within an Agile environment, but paying attention to the different timescales of development.Hiring research scientists and engineers to continue to grow the team.Coaching and developing scientists to maintain standards and to drive career growth for your direct reports.Building a team culture around technical excellence and strong delivery.
About the teamThe Seller Growth science team aims to provide data and science solutions to drive Seller growth and create better Seller experiences. We structure our science domain with three key themes and two horizontal components. We discover the opportunity space by identifying opportunities with unrealized potential, then generate actionable analytics to identify high value actions (HVAs) that unlock the opportunity space, and finally, empower Sellers with personalized Growth Plans and differentiated treatment that help them realize their potential. BASIC QUALIFICATIONS
Ph.D. degree in Computer Science, Computer Engineering, Machine Learning, or related fieldTypically requires 10+ years of relevant work experienceExcellent publication record of ML and NLP at major conferences that shows breadth and depthRecognized as a leader in area of specialty (machine learning, Natural Language Processing, etc.)Proven track record of mentoring and developing other researchersStrongly desirable to be proficient in more than one major programming language (C++, Java, C#, C, Perl/Ruby, etc.)Expert in some mathematical programming libraries (such as R, Weka, Matlab, SAS)Expert knowledge in model evaluation and performance, operationalization and scalability of scientific techniques and establishing decision strategies.PREFERRED QUALIFICATIONS
Industry experience showing research results being deployed at scaleExperience building and delivering models for complex systems that leverage our technology platform and work well with other company systemsSpecific leadership in e-commerce, handling highly ambiguous problems, and Gen AIAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Posted:
November 21, 2024 (Updated 44 minutes ago)Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
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Job ID: 2813655 | Amazon.com Services LLC - A57Join us in the evolution of Amazon’s Seller business! The Seller Growth Business 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 by using our scaled, automated, and self-service tools.We aim to accelerate the growth of Sellers by providing tools, insights, and recommendations that enable them to make better and faster decisions at each step of selection management. To accomplish this, we offer intelligent insights that are both detailed and actionable, allowing Sellers to introduce new products and engage with customers effectively. We leverage extensive structured and unstructured data to generate science-based insights about their business. Furthermore, we provide personalized recommendations tailored to individual Sellers' business objectives in a user-friendly format. These insights and recommendations are integrated into our products, including Amazon Brand Analytics (ABA), Product Opportunity Explorer (OX), and Manage Your Growth (MYG). Additionally, we leverage state-of-the-art technology, such as Gen AI to enable efficient insights consumption and recommendation digestion for Sellers, as well as providing interactive experiences to Sellers using our tools.We are looking for a talented and passionate Sr. Applied Science manager to lead our research endeavors and develop world-class statistical and machine learning models. The successful candidate will work closely with Product Managers (PM), User Experience (UX) designers, engineering teams, and Seller Growth Consulting teams to provide actionable insights that drive improvements in Seller businesses.
Key job responsibilitiesYour responsibilities will include:
Taking full service ownership of your teams including developing research and engineering (product roadmaps), developing and tracking relevant metrics, and ensuring system performance.Ensuring the team are publishing high-quality research in top conferences and journals, which are also directly impactful for our customers.Delivering against project plans and program commitments.Managing the day-to-day activities of a combined science and engineering team within an Agile environment, but paying attention to the different timescales of development.Hiring research scientists and engineers to continue to grow the team.Coaching and developing scientists to maintain standards and to drive career growth for your direct reports.Building a team culture around technical excellence and strong delivery.
About the teamThe Seller Growth science team aims to provide data and science solutions to drive Seller growth and create better Seller experiences. We structure our science domain with three key themes and two horizontal components. We discover the opportunity space by identifying opportunities with unrealized potential, then generate actionable analytics to identify high value actions (HVAs) that unlock the opportunity space, and finally, empower Sellers with personalized Growth Plans and differentiated treatment that help them realize their potential. BASIC QUALIFICATIONS
Ph.D. degree in Computer Science, Computer Engineering, Machine Learning, or related fieldTypically requires 10+ years of relevant work experienceExcellent publication record of ML and NLP at major conferences that shows breadth and depthRecognized as a leader in area of specialty (machine learning, Natural Language Processing, etc.)Proven track record of mentoring and developing other researchersStrongly desirable to be proficient in more than one major programming language (C++, Java, C#, C, Perl/Ruby, etc.)Expert in some mathematical programming libraries (such as R, Weka, Matlab, SAS)Expert knowledge in model evaluation and performance, operationalization and scalability of scientific techniques and establishing decision strategies.PREFERRED QUALIFICATIONS
Industry experience showing research results being deployed at scaleExperience building and delivering models for complex systems that leverage our technology platform and work well with other company systemsSpecific leadership in e-commerce, handling highly ambiguous problems, and Gen AIAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Posted:
November 21, 2024 (Updated 44 minutes ago)Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
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