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 innovative initiative focused on 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 techniques. You'll be working with terabytes of data to solve complex, real-world problems as part of Amazon's generative AI initiative. The role requires close collaboration with data scientists, software engineers, and UX/UI designers to create seamless, context-aware AI solutions.
As a Data Scientist II, you'll be responsible for the entire machine learning lifecycle - from data preprocessing and feature engineering to model development, training, and evaluation. The role demands expertise in Python, machine learning frameworks, and big data technologies. You'll work with cloud platforms, particularly AWS, and handle large-scale data processing using tools like Hadoop, Spark, and Kafka.
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 continuous learning. The compensation is competitive, ranging from $125,500 to $212,800 per year, depending on location and experience, plus additional benefits including equity and sign-on payments.
This is an excellent opportunity for someone passionate about AI and machine learning who wants to make a significant impact on how one of the world's largest companies operates. You'll be at the forefront of implementing cutting-edge AI technologies while working with a diverse team of talented professionals. The role offers both technical challenges and the opportunity to shape the future of workplace productivity through innovative AI solutions.
Key technical requirements include proficiency in Python and ML libraries, experience with NLP and reinforcement learning, expertise in data preprocessing, and familiarity with big data technologies. The ideal candidate will have at least 2 years of data science experience and 3+ years of experience with data querying languages and machine learning/statistical modeling.
Join Amazon's Enterprise Engineering team to be part of a transformative initiative that's pushing the boundaries of what's possible with AI while working in a collaborative, fast-paced environment that encourages creativity and innovation.
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 cross-functional teams
- Document model architectures and processes
Requirements For Data Scientist II, Enterprise Engineering
- 2+ years of data scientist experience
- 3+ years of data querying languages experience
- 3+ years of machine learning/statistical modeling experience
- Experience applying theoretical models in an applied environment
- Proficiency in Python, including ML libraries
- Strong understanding of machine learning algorithms and frameworks
- Experience with NLP techniques and models
- Expertise in data cleaning, normalization, and transformation
- Experience with big data tools and frameworks
Benefits For Data Scientist II, Enterprise Engineering
- Medical benefits
- Financial benefits
- Total compensation package including equity
- Sign-on payments
