Sr Applied Scientist GOX - Global Operational Excellence
Sr Applied Scientist GOX - Global Operational Excellence
Posted on :
15-03-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Disrupting the way Amazon fulfills our customers orders.
Amazon operations is changing the way we improve Customer Experience through flawless fulfillment focused on 1 successful ontime delivery 2 at speed and 3 at the lowest possible cost. Being the engine of Amazon Operational excellence driving zero defects through ideal operation being the heart of the Fulfillment network and its center of excellence being proactive and aspiring for zero defects across the network with 100 organizational engagement.
For example our applied science team leverage a variety of advanced machine learning and cloud computing techniques to power Amazons operations performance management. This includes building algorithms and cloud services using LLMs deep neural networks and other ML approaches to make root cause analysis of incidents and defects better. They develop machine learning models to predict inbound capacity forecasts and select the optimal order of unloading and stowing the incoming items in the Fulfilment Center. The teams also utilize Langchain Amazon Bedrock Amazon Textract ElasticCache Redis Opensearch and Kubernetes to extract insights from big data and deliver recommendations to operations managers continuously improving through offline analysis and impact evaluation.
Underpinning these efforts are unique technical challenges such as operating at unprecedented scale 100k requests per second with SNS/SQS and <1ms latency with Redis) while respecting privacy and customer trust guarantees and solving a wide variety of complex computational operational problems related to inbound management for unloading and stowing before stow time SLA outbound for picking and packing before SLAM PAD time and shipping for staging and loading before Critical Pull Time.
Key job responsibilities
GOX team is looking for a Senior Applied Scientist to support our vision of giving our customers the best fulfillment experience in the world and our mission of delighting our customers by providing capabilities tools and mechanisms to fulfillment operations. As Skynet Sr. APSCI you would be providing resources and expertise for all data related reports (dashboard scorecards) analysis (statistical approach) and Machine Learning products and tools development. On top of your internal customers within GOX team you would be supporting more widely with your experience and skills all across the org partnering with a wide range of departments within Ops Integration (Packaging Sustainability) within the company mainly with ICQA ATS AMZL GTS on several projects. You will be part of the community of Scientists within Amazon Operations including other AS BIEs SDEs split across the different departments. You will be part of projects requiring your close collaboration and interactions with Operations that require you to have a good understanding of product flow and process all along the distribution chain. The GOX team is now recognized for its expertise and excellence in creating tools that improve massively the customer experience. Several of them now rolled out in other regions with some of these tools becoming worldwide standard.
Reporting to the GOX Senior Manager you will be responsible for developing the datadriven 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. The successful candidate will be able to work with minimal instruction and oversight manage multiple tasks and support projects simultaneously. Maintaining your relationships with the customers in operations and within the team while owning deliverables endtoend is expected. Critical to the success of this role is your ability to work with big data develop insightful analysis communicate findings in a clear and compelling way and work effectively as part of the team raising the bar and insisting on high standards.
About the team
A day in the life
GOX team is the engine of Amazon Operational excellence at the heart of the fulfillment network operations aspiring zero defects. It is our purpose to improve Customer Experience through flawless fulfillment focused on 1 successful ontime delivery 2 at speed and 3 at the lowest possible cost. Our Solutions support ontime delivery of billions of packages to our customers across the globe leveraging AI & Generative AI technology.
Masters degree
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience in building machine learning models for business application
Experience in applied research
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
Amazon 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 to know more about how we collect use and transfer the personal data of our candidates.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Amazon operations is changing the way we improve Customer Experience through flawless fulfillment focused on 1 successful ontime delivery 2 at speed and 3 at the lowest possible cost. Being the engine of Amazon Operational excellence driving zero defects through ideal operation being the heart of the Fulfillment network and its center of excellence being proactive and aspiring for zero defects across the network with 100 organizational engagement.
For example our applied science team leverage a variety of advanced machine learning and cloud computing techniques to power Amazons operations performance management. This includes building algorithms and cloud services using LLMs deep neural networks and other ML approaches to make root cause analysis of incidents and defects better. They develop machine learning models to predict inbound capacity forecasts and select the optimal order of unloading and stowing the incoming items in the Fulfilment Center. The teams also utilize Langchain Amazon Bedrock Amazon Textract ElasticCache Redis Opensearch and Kubernetes to extract insights from big data and deliver recommendations to operations managers continuously improving through offline analysis and impact evaluation.
Underpinning these efforts are unique technical challenges such as operating at unprecedented scale 100k requests per second with SNS/SQS and <1ms latency with Redis) while respecting privacy and customer trust guarantees and solving a wide variety of complex computational operational problems related to inbound management for unloading and stowing before stow time SLA outbound for picking and packing before SLAM PAD time and shipping for staging and loading before Critical Pull Time.
Key job responsibilities
GOX team is looking for a Senior Applied Scientist to support our vision of giving our customers the best fulfillment experience in the world and our mission of delighting our customers by providing capabilities tools and mechanisms to fulfillment operations. As Skynet Sr. APSCI you would be providing resources and expertise for all data related reports (dashboard scorecards) analysis (statistical approach) and Machine Learning products and tools development. On top of your internal customers within GOX team you would be supporting more widely with your experience and skills all across the org partnering with a wide range of departments within Ops Integration (Packaging Sustainability) within the company mainly with ICQA ATS AMZL GTS on several projects. You will be part of the community of Scientists within Amazon Operations including other AS BIEs SDEs split across the different departments. You will be part of projects requiring your close collaboration and interactions with Operations that require you to have a good understanding of product flow and process all along the distribution chain. The GOX team is now recognized for its expertise and excellence in creating tools that improve massively the customer experience. Several of them now rolled out in other regions with some of these tools becoming worldwide standard.
Reporting to the GOX Senior Manager you will be responsible for developing the datadriven 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. The successful candidate will be able to work with minimal instruction and oversight manage multiple tasks and support projects simultaneously. Maintaining your relationships with the customers in operations and within the team while owning deliverables endtoend is expected. Critical to the success of this role is your ability to work with big data develop insightful analysis communicate findings in a clear and compelling way and work effectively as part of the team raising the bar and insisting on high standards.
About the team
A day in the life
GOX team is the engine of Amazon Operational excellence at the heart of the fulfillment network operations aspiring zero defects. It is our purpose to improve Customer Experience through flawless fulfillment focused on 1 successful ontime delivery 2 at speed and 3 at the lowest possible cost. Our Solutions support ontime delivery of billions of packages to our customers across the globe leveraging AI & Generative AI technology.
Masters degree
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience in building machine learning models for business application
Experience in applied research
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
Amazon 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 to know more about how we collect use and transfer the personal data of our candidates.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Exec
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
