Amazon Data Science Manager Customer Engagement Technology 

United States, Washington, Seattle 

731519515

This involves model development in areas such as multi-turn dialogue management, knowledge grounding, and open-ended generation and assessment of dialogue quality and style of the conversational model.Key job responsibilities- Implement state-of-the-art Natural Language Processing (NLP) and Machine Learning (ML) models for tasks such as language understanding, dialogue management, and response generation and dialogue quality assessment.- Develop and implement strategies for data collection, annotation, and model training to ensure high-quality and robust performance of the chatbots.
- Conduct experiments and evaluations to measure the performance of the developed models and systems, and identify areas for improvement.
A day in the life
Benefits Summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- 5+ years of building quantitative solutions as a scientist or science manager experience
- 2+ years of scientists or machine learning engineers management experience
- Ph.D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Knowledge of Python or R or other scripting language
- Experience working with scientists, economists, software developers, or product managers
- 5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment

- Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)
- Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems
- Experience in applying statistical models for large-scale application and building automated analytical systems