Data Engineer (L4), Customer Engagement Technology

Do you want to join an innovative team of engineers and scientists who use machine learning, NLP (Natural Language Processing) and statistical techniques to provide the best customer experience on the earth? Do you want to change the way that people work with customer service? Our team wants to lead the technical innovations in these spaces and set the bar for every other company that exists. We love data, and we have lots of it.

If you see how big data and cutting-edge technology can be used to improve customer experience, if you love to innovate, if you love to discover knowledge from big structured and unstructured data and if you deliver results, then we want you to be in our team. We're specifically looking for a strong analytical thinker with excellent communication skills who can improve our team's infrastructure and build new analytical visualization tools for various purposes.

You will participate in all phases of science projects, including big data understanding, designing and implementing product experiment, automating analytical metric mechanism, and communicating results. You will earn trust from our business partners by collaborating with them to define key research questions, communicate scientific approaches and findings, listen to and incorporate their feedback, and deliver successful solutions.


Key job responsibilities
• Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes
• Design structured, multi-source data/statistics solutions to deliver results
• Establish scalable, efficient, automated processes for large scale data analyses, statistics and visualization solution
• Preprocess and analyze unstructured text data by NLP techniques to understand customer needs and product enhancement
• Conduct A/B test experiment to support product dial-up decision



A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team
Join our team of product leaders, scientists and engineers who develop and deploy LLM-based Conversational AI systems to enhance Amazon's customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently, and associate-facing products that support our customer service associate workforce.