Senior Data Scientist

1 month ago


London, Greater London, United Kingdom ENGINEERINGUK Full time
About the Role

As a Senior Machine Learning Scientist at ENGINEERINGUK, you will be responsible for developing and implementing machine learning models to optimize Amazon's operations performance management. This includes building algorithms and cloud services using LLMs, deep neural networks, and other ML approaches to improve root cause analysis of incidents and defects. You will work with big data, develop insightful analysis, and communicate findings in a clear and compelling way.

About the Team
Our GOX DEA team is the engine of Amazon Operational excellence at the heart of the fulfillment network operations, aspiring zero defects.

Key Responsibilities
- Develop and implement machine learning models to optimize Amazon's operations performance management
- Build algorithms and cloud services using LLMs, deep neural networks, and other ML approaches
- Work with big data, develop insightful analysis, and communicate findings in a clear and compelling way
- Collaborate with the team to achieve zero defects in the fulfillment network operations

Requirements
- 7+ years of Machine Learning and/or Analytics Systems development and deployment experience
- Strong verbal and written communications skills
- Experience with implementation and tuning in the Big Data Ecosystem and ML Platforms
- Track record of implementing AWS services in a variety of business environments
- AWS Certification, eg. AWS Solutions Architect, Developer, or AWS Certified Machine Learning - Specialty

Preferred Qualifications
- Hands-on experience leading large-scale big data and analytics projects
- Hands-on experience as a database, data warehouse, big data/analytics developer or administrator, or work as a data scientist
- Demonstrated industry leadership in the fields of Big Data processing, Data Sciences and Machine Learning
- Deep understanding of data, application, server, and network security
- Experience with Statistics, Machine Learning and Predictive Modelling
- Working knowledge of modern software development practices and technologies such as agile methodologies and DevOps/MLOps
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