Principal, Data Science, AWS Research & Analytics
Principal, Data Science, AWS Research & Analytics
Posted on :
14-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 145800 - 294700
Vacancy
1 Vacancy
Posted on :
14-05-2025
Job Description
AWS is seeking a talented and experienced Principle Data Scientist to join our Consumer Experience team. This is a key technical leadership role and we are seeking someone who is passionate about working on largescale data challenges and driving innovation in ML/AI data science practice at scale that solves realworld customer issues.
Reporting to the Director of Research and Analytics this role is critical to ensuring strong analytical capabilities in AWS through the leveraging of emerging technologies building best practices in data science and collaborating with key stakeholders to support a deep understanding of the AWS experience.
The ideal candidate will have extensive experience working in complex data and analytics environments at scale driving solutions to develop better data science practices preferably within cloud computing environments. Experience with Machine Learning and other advanced analytics techniques is a must and you also need to be able to talk about these technical concepts in plain terms. The role requires both technical depth and the ability to lead and communicate effectively to stakeholders.
Key job responsibilities
* Provide thought leadership and technical guidance on data science strategies and their application.
* Partner with product engineering and design teams to develop and launch innovative data products.
* Lead the adoption of Gen AI and MLbased approaches across data science practice and lead proof of concept initiatives of AIdriven customer use cases.
* Advance our analytics techniques including statistical analysis and complex data mining to deliver faster deeper insights that shape the AWS user experience.
* Build production ready advanced analytics solutions to drive effective business decisions.
* Communicate complex thinking easily at all levels.
* Innovate with new approaches sharing new technical solutions and product ideas with the teams at AWS.
* Provide mentoring and guidance to the data science and analytics community.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Masters degree in Data Science Mathematics Statistics Econometrics Economics Computer Science or a related field
* 8 years of experience in data science roles with statistical data analysis/ modelling and managing analytical projects endtoend.
* 5 years of experience in machine learning natural language processing and deep learning.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $145800/year in our lowest geographic market up to $294700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Reporting to the Director of Research and Analytics this role is critical to ensuring strong analytical capabilities in AWS through the leveraging of emerging technologies building best practices in data science and collaborating with key stakeholders to support a deep understanding of the AWS experience.
The ideal candidate will have extensive experience working in complex data and analytics environments at scale driving solutions to develop better data science practices preferably within cloud computing environments. Experience with Machine Learning and other advanced analytics techniques is a must and you also need to be able to talk about these technical concepts in plain terms. The role requires both technical depth and the ability to lead and communicate effectively to stakeholders.
Key job responsibilities
* Provide thought leadership and technical guidance on data science strategies and their application.
* Partner with product engineering and design teams to develop and launch innovative data products.
* Lead the adoption of Gen AI and MLbased approaches across data science practice and lead proof of concept initiatives of AIdriven customer use cases.
* Advance our analytics techniques including statistical analysis and complex data mining to deliver faster deeper insights that shape the AWS user experience.
* Build production ready advanced analytics solutions to drive effective business decisions.
* Communicate complex thinking easily at all levels.
* Innovate with new approaches sharing new technical solutions and product ideas with the teams at AWS.
* Provide mentoring and guidance to the data science and analytics community.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Masters degree in Data Science Mathematics Statistics Econometrics Economics Computer Science or a related field
* 8 years of experience in data science roles with statistical data analysis/ modelling and managing analytical projects endtoend.
* 5 years of experience in machine learning natural language processing and deep learning.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $145800/year in our lowest geographic market up to $294700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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