Data Scientist II, AWS Cross Domain Solutions
Data Scientist II, AWS Cross Domain Solutions
Posted on :
12-09-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 125500 - 212800
Vacancy
1 Vacancy
Posted on :
12-09-2025
Job Description
Join the Pattern team in designing and implementing cutting-edge analytic solutions for operational data analysis. Youll work on developing advanced algorithms building data visualization tools and collaborating with other teams to enhance our data analysis capabilities.
The candidate selected must obtain and maintain a security clearance at the TS/SCI with polygraph level. Upon start the selected candidate will be sponsored for a commensurate clearance for each government agency for which they perform AWS work.
10012
Key job responsibilities
- Develop and implement machine learning models for complex data analysis
- Create data visualizations to effectively communicate insights from operational data
- Collaborate with security teams to refine data analysis algorithms
- Drive the expansion of Pattern Analytics for various use cases
- Generalize analysis techniques for broader data flow coverage
Have questions about this role Start a chat with the recruiter today! Please reach out to Krystan Silva at for inquiries.
About the team
Were a small independent team within AWS Cross Domain Solutions (CDS) working on providing visibility into the CDS workflow. Our team is building an innovative analytic platform that is focused on solving complex problems related to data analysis and pattern recognition. Our team values collaboration creativity and continuous learning.
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.
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Internet of Things (IoT) Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for their cloud services.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Work/Life Balance
We value work-life 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 knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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.
- Masters degree or above in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science
- 3 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 developing experimental and analytic plans for data modeling processes use of strong baselines ability to accurately determine cause and effect relations
- Experience with AWS services including S3 Redshift Sagemaker EMR Kinesis Lambda and EC2
- Experience in a ML or data scientist role with a large technology company
- Current active US Government Security Clearance of TS/SCI with Polygraph
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 $125500/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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 candidate selected must obtain and maintain a security clearance at the TS/SCI with polygraph level. Upon start the selected candidate will be sponsored for a commensurate clearance for each government agency for which they perform AWS work.
10012
Key job responsibilities
- Develop and implement machine learning models for complex data analysis
- Create data visualizations to effectively communicate insights from operational data
- Collaborate with security teams to refine data analysis algorithms
- Drive the expansion of Pattern Analytics for various use cases
- Generalize analysis techniques for broader data flow coverage
Have questions about this role Start a chat with the recruiter today! Please reach out to Krystan Silva at for inquiries.
About the team
Were a small independent team within AWS Cross Domain Solutions (CDS) working on providing visibility into the CDS workflow. Our team is building an innovative analytic platform that is focused on solving complex problems related to data analysis and pattern recognition. Our team values collaboration creativity and continuous learning.
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.
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Internet of Things (IoT) Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for their cloud services.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Work/Life Balance
We value work-life 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 knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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.
- Masters degree or above in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science
- 3 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 developing experimental and analytic plans for data modeling processes use of strong baselines ability to accurately determine cause and effect relations
- Experience with AWS services including S3 Redshift Sagemaker EMR Kinesis Lambda and EC2
- Experience in a ML or data scientist role with a large technology company
- Current active US Government Security Clearance of TS/SCI with Polygraph
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 $125500/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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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