Senior Data Engineer, Search Data Science
Amazon is one of the most popular sites in the US.
Our product search engine, one of the most heavily used services in the world, indexes billions of products and serves hundreds of millions of customers world-wide.
Our team leads the data science and analytics efforts for the search page and we own multiple aspects of understanding how we can measure customer satisfaction with our experiences.
This include building science based insights and novel metrics to define and track customer focused aspects.
We are working on a new measurement framework to better quantify and qualify the quality of the search customer experience and are looking for a Senior Data Engineer to lead the data infrastructure that will power the models and metrics governing this space.
The data comes from disparate systems, and will be used by multiple orgs and stakeholders across the company.
Iterating on models and metrics fast will be paramount, and a nimble and robust supporting datasets is key.
Key job responsibilitiesWe are looking for an experienced data engineer to lead the data infrastructure to build and train our measurement models and implement our metrics.
Keeping a department-wide view, you will focus on the highest priorities and constantly look for scale and automation, while making technical trade-offs between short term and long-term needs.
With your drive to deliver results, you will quickly analyze data, how systems integrate with each other and understand the current business challenges to assess the feasibility of different data builds at scale.
Your desire to learn and be curious will help us look around corners for improvement opportunities and more efficient metrics development.
In this role, you will partner with data engineers, business intelligence engineers, product managers, software engineers, economists, and data scientists.
Who you areYou are a Data Engineer with an expertise handling petabytes of data with multiple downstream systems.
You are comfortable with a higher degree of ambiguity, technical constraints and knows when and how to be scrappy, build quick prototypes and proofs of concepts, innate ability to see around corners and know what is coming, define a long-term foundational data vision, and relish the idea of solving problems that haven't been solved at scale.
As part of our journey to learn about our data, some opportunities may be a dead end and you will balancing unknowns with delivering results for our customers.
Along the way, you'll learn a ton, have fun and make a positive impact at scale.
About the teamJoining this team, you'll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.
com (AMZN), Earth's most customer-centric company and one of the world's leading internet companies.
We provide a highly customer-centric, and team-oriented environment.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA.
Estimated Salary: $20 to $28 per hour based on qualifications.
Our product search engine, one of the most heavily used services in the world, indexes billions of products and serves hundreds of millions of customers world-wide.
Our team leads the data science and analytics efforts for the search page and we own multiple aspects of understanding how we can measure customer satisfaction with our experiences.
This include building science based insights and novel metrics to define and track customer focused aspects.
We are working on a new measurement framework to better quantify and qualify the quality of the search customer experience and are looking for a Senior Data Engineer to lead the data infrastructure that will power the models and metrics governing this space.
The data comes from disparate systems, and will be used by multiple orgs and stakeholders across the company.
Iterating on models and metrics fast will be paramount, and a nimble and robust supporting datasets is key.
Key job responsibilitiesWe are looking for an experienced data engineer to lead the data infrastructure to build and train our measurement models and implement our metrics.
Keeping a department-wide view, you will focus on the highest priorities and constantly look for scale and automation, while making technical trade-offs between short term and long-term needs.
With your drive to deliver results, you will quickly analyze data, how systems integrate with each other and understand the current business challenges to assess the feasibility of different data builds at scale.
Your desire to learn and be curious will help us look around corners for improvement opportunities and more efficient metrics development.
In this role, you will partner with data engineers, business intelligence engineers, product managers, software engineers, economists, and data scientists.
Who you areYou are a Data Engineer with an expertise handling petabytes of data with multiple downstream systems.
You are comfortable with a higher degree of ambiguity, technical constraints and knows when and how to be scrappy, build quick prototypes and proofs of concepts, innate ability to see around corners and know what is coming, define a long-term foundational data vision, and relish the idea of solving problems that haven't been solved at scale.
As part of our journey to learn about our data, some opportunities may be a dead end and you will balancing unknowns with delivering results for our customers.
Along the way, you'll learn a ton, have fun and make a positive impact at scale.
About the teamJoining this team, you'll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.
com (AMZN), Earth's most customer-centric company and one of the world's leading internet companies.
We provide a highly customer-centric, and team-oriented environment.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA.
Estimated Salary: $20 to $28 per hour based on qualifications.
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