Applied Science Manager, Seller Growth Science (SGS)

About the Role

Key Responsibilities

• Own and drive team charter, working backwards from customer problems and product strategy, to develop a long-term science vision and plan, team tenets, and contribute to organizational working backwards documents (e.g. press release, FAQs).
• Develop mechanisms that enable the team to collaborate on research, deliver independently, and integrate with end-to-end processes and technology dependencies.
• Insist on a high bar for deliveries with monitoring and audit mechanisms for the team's solutions.
• Work with Product and Tech leaders to expose and accelerate science innovation internally and to other organizations.
• Hire, develop, and nurture scientists, focusing on both technical skills and leadership principles, to increase their scope, impact, and influence at Amazon.
• Guide the development and deployment of sophisticated algorithms and models, including ML, Deep Learning, Reinforcement Learning, and generative AI-driven solutions, to improve seller experience and business metrics.

Requirements

• 3+ years of experience managing scientists or machine learning engineers.
• 3+ years of experience building machine learning models or developing algorithms for business applications.
• Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or an equivalent quantitative field.
• Knowledge of ML, NLP, Information Retrieval, and Analytics.
• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live site operations.
• Experience communicating with users, technical teams, and management to collect requirements, describe software features, and technical designs.

Nice to Have

• Experience building complex software systems involving deep learning, machine learning, and computer vision that have been successfully delivered to customers.

Qualifications

• Master's degree in a relevant quantitative field.
• Experience in machine learning model development and deployment.
• Management experience leading scientists or engineers.

Benefits & Perks

• Competitive salary ranging from $165,500/year to $286,000/year depending on geographic location and experience.
• Equity, sign-on payments, and other forms of compensation may be provided as part of a total package.
• Full range of medical, financial, and other benefits.