Amazon Business is looking to improve the productivity and efficiency of Account Executives (AEs) by expanding GenAI capabilities and scaling its impact across global markets. The goal is to enhance customer experience and drive sales productivity through data-driven insights, innovative tools, and accurate customer information.
Requirements
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience with SQL, Python and Data Warehouse
- Experience in building text/speech recognition, machine translation and natural language processing systems (e.g., emails, phone conversations)
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience working on personalisation, customer journey analysis and realtime chatbot interactions.
- Experience building applications leveraging GenAI
Responsibilities
- Leverage machine learning techniques and generative AI to outreach customers based on their life cycle stage, behavioral patterns, and purchase history.
- Perform text mining and insight analysis of real-time customer conversations and make the model learn and recommend the solutions.
- Design, implement, test, deploy and maintain innovative data and machine learning solutions to further the customer experience.
- Create experiments and prototype implementations of new learning algorithms and prediction techniques.
- Develop algorithms for new capabilities and trace decisions in the data and assess how proposed changes could potentially impact business metrics to cater needs of Amazon Business Sales.
- Build models that measure incremental value, predict growth, define and conduct experiments to optimize engagement of AB customers, and communicate insights and recommendations to product, sales, and finance partners.
- Conduct in-depth data analysis and feature engineering to build robust ML models.
Other
- Demonstrates bias for action and operates in a startup environment, with leadership skills, and proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded.
- Think big and design new solutions to solve complex problems using machine learning (ML) and Generative AI techniques to improve our customers’ experience when using AB.
- Have hands-on experience making the right decisions about technology, models and methodology choices.
- Partner with product management and technical leadership to identify opportunities to innovate customer journey experiences.
- Identify new areas of investment and work to align product roadmaps to deliver on these opportunities.
- As a science leader, you will not only develop unique scientific solutions, but also play a crucial role in shaping strategies.
