Amazon
Data Scientist, AWS Data Products, DP&I - Atlas
Amazon, Dallas, Texas, United States, 75215
Data Scientist, AWS Data Products, DP&I - Atlas
Job ID: 2802883 | Amazon Web Services, Inc.Join us in building on AWS, for AWS!
Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud (“Cloud Computing”). With AWS you can requisition compute power, storage, and many other services – gaining access to a suite of elastic IT infrastructure services as your business demands them. AWS is the leading platform for designing and developing applications for the cloud and is growing rapidly with hundreds of thousands of companies in over 190 countries on the platform.
We’re looking for a Data Scientist to design and deliver solutions that combine machine learning, human-in-the-loop input, and distributed big data technologies. We're building a cutting-edge data platform to enable us to arm our field teams with the actionable intelligence needed to engage and serve every possible AWS customer in the world, to the fullest.
This position may be based in Seattle, WA; Dallas, TX.Key Job Responsibilities
Design solutions to complex and ambiguous data challenges, starting from first principles.Apply Machine Learning to solve data problems, such as record matching, at scale.Leverage company data from third-party sources in combination with internal AWS data to develop quantitative models answering critical business questions.Build human-in-the-loop workflows, to complement and augment ML solutions.Work with AWS machine learning and big data technologies such as Amazon Sagemaker, EMR, S3, DynamoDB, Lambda, and more.Experiment and explore new technologies to create innovative solutions.Use Natural Language Processing and language models to derive insights from unstructured sources like public company regulatory filings and annual reports.BASIC QUALIFICATIONS
2+ years of data scientist experience.3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience.3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.Experience applying theoretical models in an applied environment.PREFERRED QUALIFICATIONS
Experience in Python, Perl, or another scripting language.Experience in a ML or data scientist role with a large technology company.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.
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Job ID: 2802883 | Amazon Web Services, Inc.Join us in building on AWS, for AWS!
Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud (“Cloud Computing”). With AWS you can requisition compute power, storage, and many other services – gaining access to a suite of elastic IT infrastructure services as your business demands them. AWS is the leading platform for designing and developing applications for the cloud and is growing rapidly with hundreds of thousands of companies in over 190 countries on the platform.
We’re looking for a Data Scientist to design and deliver solutions that combine machine learning, human-in-the-loop input, and distributed big data technologies. We're building a cutting-edge data platform to enable us to arm our field teams with the actionable intelligence needed to engage and serve every possible AWS customer in the world, to the fullest.
This position may be based in Seattle, WA; Dallas, TX.Key Job Responsibilities
Design solutions to complex and ambiguous data challenges, starting from first principles.Apply Machine Learning to solve data problems, such as record matching, at scale.Leverage company data from third-party sources in combination with internal AWS data to develop quantitative models answering critical business questions.Build human-in-the-loop workflows, to complement and augment ML solutions.Work with AWS machine learning and big data technologies such as Amazon Sagemaker, EMR, S3, DynamoDB, Lambda, and more.Experiment and explore new technologies to create innovative solutions.Use Natural Language Processing and language models to derive insights from unstructured sources like public company regulatory filings and annual reports.BASIC QUALIFICATIONS
2+ years of data scientist experience.3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience.3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.Experience applying theoretical models in an applied environment.PREFERRED QUALIFICATIONS
Experience in Python, Perl, or another scripting language.Experience in a ML or data scientist role with a large technology company.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.
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