Senior Applied Scientist

2 days ago

Charing Cross, United Kingdom Amazon TA Full time
About the Role

We are seeking a highly skilled Senior Applied Scientist to join our team at Amazon TA. As a key member of our organization, you will play a critical role in developing and implementing machine learning models to improve our operations performance management.

Our team leverages advanced machine learning and cloud computing techniques to power Amazon's operations performance management. We build algorithms and cloud services using LLMs, deep neural networks, and other ML approaches to make root cause analysis of incidents and defects better. We develop machine learning models to predict inbound capacity forecasts and select the optimal order of unloading and stowing the incoming items in the Fulfillment Center.

As a Senior Applied Scientist, you will be responsible for developing the data-driven decision process from historical data and ML-based predictive analysis and maintaining accurate and reliable data infrastructure. You will work across the entire business, and be exposed to a wide range of functions from Operations, Finance, Technology, and Change management.

Key Responsibilities
  • Develop and implement machine learning models to improve operations performance management
  • Build algorithms and cloud services using LLMs, deep neural networks, and other ML approaches
  • Develop machine learning models to predict inbound capacity forecasts and select the optimal order of unloading and stowing the incoming items in the Fulfillment Center
  • Maintain accurate and reliable data infrastructure
  • Work across the entire business, and be exposed to a wide range of functions from Operations, Finance, Technology, and Change management
Requirements
  • 7+ years of Machine Learning and/or Analytics Systems development and deployment experience
  • IT systems and engineering experience, security and compliance experience, etc.
  • BS level technical degree required; Computer Science or Mathematics background preferred
  • Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organisations and virtual teams
  • Ability to understand complex business requirements and render them as prototype systems with quick turnaround time
  • Experience with implementation and tuning in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), ML Platforms (SageMaker, Kubeflow, Azure Machine Learning, SAS, Domino), and MLOps (model development, orchestration and deployment, monitoring, optimisation)
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
  • Hands on experience architecting, deploying and maintaining production machine learning systems
  • 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
About Amazon TA

Amazon TA is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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