Sr Data Scientist Perceptor Kumo Analytics AWS Support
Sr Data Scientist Perceptor Kumo Analytics AWS Support
Posted on :
24-04-2025
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1 Vacancy
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Job Description
Our North Star vision is to drive high quality decision making by bringing reliable contextual and digestible data and insights to our customers.
The Kumo Analytics team is a small central group in the AWS Support & Managed Services organization. The team comprises members from a range of skillsets such as Strategy & Planning Data Science and Business Intelligence. The Analytics team is responsible for pushing our Product Process and Customer understanding and insight beyond the here and now to create value for the longterm.
Key job responsibilities
If you love driving critical thinking and insight into challenging unstructured problems and working with leaders in the organization to bring those insights into action this role is for you. This is a handson role however being a part of a small team gives opportunity to take ownership of the customer / business problem across the spectrum.
Data Science Analytics topics include but not limited to:
Product / Value Proposition design
Customer Experience improvement
Business Planning & Forecasting
Predictive Analytics (a number of customercentric usecases)
NLP / Text mining to identify themes in customer feedback
About the team
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 (gender diversity) conferences inspire us to never stop embracing our uniqueness.
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.
Mentorship and 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.
Diverse Experiences
Amazon 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.
5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
4 years of data scientist experience
Experience with statistical models e.g. multinomial logistic regression
2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
Experience managing data pipelines
Experience as a leader and mentor on a data science team
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 $143300/year in our lowest geographic market up to $247600/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.
The Kumo Analytics team is a small central group in the AWS Support & Managed Services organization. The team comprises members from a range of skillsets such as Strategy & Planning Data Science and Business Intelligence. The Analytics team is responsible for pushing our Product Process and Customer understanding and insight beyond the here and now to create value for the longterm.
Key job responsibilities
If you love driving critical thinking and insight into challenging unstructured problems and working with leaders in the organization to bring those insights into action this role is for you. This is a handson role however being a part of a small team gives opportunity to take ownership of the customer / business problem across the spectrum.
Data Science Analytics topics include but not limited to:
Product / Value Proposition design
Customer Experience improvement
Business Planning & Forecasting
Predictive Analytics (a number of customercentric usecases)
NLP / Text mining to identify themes in customer feedback
About the team
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 (gender diversity) conferences inspire us to never stop embracing our uniqueness.
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.
Mentorship and 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.
Diverse Experiences
Amazon 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.
5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
4 years of data scientist experience
Experience with statistical models e.g. multinomial logistic regression
2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
Experience managing data pipelines
Experience as a leader and mentor on a data science team
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 $143300/year in our lowest geographic market up to $247600/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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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