Data Scientist II, Enterprise Engineering
Description For Data Scientist II, Enterprise Engineering
Amazon's Enterprise Engineering team is seeking a Data Scientist II to join their mission of transforming productivity through advanced generative AI technologies. This role presents a unique opportunity to be an early member of a team revolutionizing how Amazonians work and collaborate.
The position involves developing, implementing, and optimizing machine learning models with a particular focus on natural language processing (NLP) and reinforcement learning. You'll be working with terabytes of data to solve complex, real-world problems using cutting-edge AI technologies. The role requires expertise in Python, machine learning frameworks, and big data technologies.
As a Data Scientist II, you'll collaborate closely with data scientists, software engineers, and UX/UI designers to create seamless, context-aware AI solutions. Your responsibilities will include data preprocessing, model development, training, and integration with Amazon's GenAI offerings. You'll also be responsible for implementing reinforcement learning strategies to ensure continuous system improvement.
The team culture emphasizes technical excellence while maintaining an entrepreneurial spirit and bias for action. You'll be part of a highly motivated, collaborative, and fun-loving environment that values innovation and creative problem-solving. The position offers competitive compensation ranging from $125,500 to $212,800 per year, depending on location and experience, plus equity and comprehensive benefits.
This role is perfect for someone who is passionate about pushing the boundaries of AI technology while working in a fast-paced, collaborative environment. You'll have the opportunity to make a significant impact on how Amazon's workforce operates and collaborates, while working with some of the most advanced AI technologies available.
The ideal candidate will have strong programming skills in Python, experience with machine learning frameworks, and a deep understanding of NLP and reinforcement learning techniques. You should be comfortable working with large datasets, have experience with cloud platforms like AWS, and possess strong collaborative and documentation skills.
Join us in revolutionizing workplace productivity through AI innovation, while growing your career at one of the world's leading technology companies. This position offers the perfect blend of technical challenge, innovation opportunity, and the chance to make a real impact on how thousands of Amazonians work and collaborate.
Responsibilities For Data Scientist II, Enterprise Engineering
- Design, develop, and implement machine learning models
- Perform data cleaning, normalization, and feature engineering
- Train and fine-tune machine learning models
- Work with software engineering team to integrate ML models
- Evaluate model performance using various metrics
- Implement reinforcement learning strategies
- Collaborate with data scientists, software engineers, and UX/UI designers
- Document model architectures, training processes, and evaluation results
Requirements For Data Scientist II, Enterprise Engineering
- 2+ years of data scientist experience
- 3+ years of data querying languages (SQL) experience
- 3+ years of machine learning/statistical modeling experience
- Experience applying theoretical models in an applied environment
- Strong understanding of machine learning algorithms and frameworks
- Experience with natural language processing (NLP) techniques and models
- Expertise in data cleaning, normalization, and transformation
- Experience with big data tools and frameworks
- Experience with cloud platforms such as AWS
Benefits For Data Scientist II, Enterprise Engineering
- Medical, financial, and other benefits
- Equity
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