Data Science Manager, Applied AI Solutions
Data Science Manager, Applied AI Solutions
Posted on :
04-06-2025
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1 Vacancy
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Job Description
The newest business group in AWS Applied AI Solutions are built by AWS and AWS Partners to deliver applied AI solutions that leverage Amazons operational expertise and that businesses love and trust for their day-to-day success. Our ambition is to become a partner which companies can rely on to run their business every day putting AI to work delivering better customer experience operational excellence and speed.
Our customers are evolving from builders to both builders and buyers. As the AWS customer base expands we increasingly need to serve customers who prefer to buy Solutions in addition to those who prefer to build. Given the depth and breadth of offerings (200 AWS services and features and thousands of APN offerings) and various ways they can be put together increasingly customers need prescriptive guidance and automation to reduce the number of decisions they need to make and minimize last-mile development to adopt AWS.
About the Role
Join the AWS Solutions Analytics team as a Data Scientist where youll transform complex business challenges into actionable insights. In this role youll partner directly with business leaders to drive growth initiatives through data-driven strategy and analysis.
Key Responsibilities
- Collaborate closely with AWS business leaders to understand key growth challenges and translate them into analytical frameworks
- Design and implement predictive models statistical analyses and machine learning solutions that directly impact business outcomes
- Synthesize complex datasets from multiple sources to identify trends opportunities and actionable recommendations
- Create compelling data analyses and executive-ready presentations that tell a clear story
- Develop scalable data solutions that enable business teams to make data-driven decisions
- Influence product and service strategies through rigorous quantitative analysis
Key job responsibilities
Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.
Conduct ad hoc data analysis and data quality investigations.
Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.
Develop and support the analytical technologies that give our customers timely flexible and structured access to their data.
Design and implement an analytical environment using third-party and in-house reporting tools modeling metadata building reports and dashboards.
- 5 years of building quantitative solutions as a scientist or science manager experience
- 2 years of scientists or machine learning engineers management experience
- 5 years of applying statistical models for large-scale application and building automated analytical systems experience
- PhD in computer science mathematics statistics machine learning or equivalent quantitative field
- Knowledge of Python or R or other scripting language
- Experience in a least one area of Machine Learning (NLP Regression Classification Clustering or Anomaly Detection)
- Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems
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 $142300/year in our lowest geographic market up to $272400/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.
Our customers are evolving from builders to both builders and buyers. As the AWS customer base expands we increasingly need to serve customers who prefer to buy Solutions in addition to those who prefer to build. Given the depth and breadth of offerings (200 AWS services and features and thousands of APN offerings) and various ways they can be put together increasingly customers need prescriptive guidance and automation to reduce the number of decisions they need to make and minimize last-mile development to adopt AWS.
About the Role
Join the AWS Solutions Analytics team as a Data Scientist where youll transform complex business challenges into actionable insights. In this role youll partner directly with business leaders to drive growth initiatives through data-driven strategy and analysis.
Key Responsibilities
- Collaborate closely with AWS business leaders to understand key growth challenges and translate them into analytical frameworks
- Design and implement predictive models statistical analyses and machine learning solutions that directly impact business outcomes
- Synthesize complex datasets from multiple sources to identify trends opportunities and actionable recommendations
- Create compelling data analyses and executive-ready presentations that tell a clear story
- Develop scalable data solutions that enable business teams to make data-driven decisions
- Influence product and service strategies through rigorous quantitative analysis
Key job responsibilities
Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.
Conduct ad hoc data analysis and data quality investigations.
Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.
Develop and support the analytical technologies that give our customers timely flexible and structured access to their data.
Design and implement an analytical environment using third-party and in-house reporting tools modeling metadata building reports and dashboards.
- 5 years of building quantitative solutions as a scientist or science manager experience
- 2 years of scientists or machine learning engineers management experience
- 5 years of applying statistical models for large-scale application and building automated analytical systems experience
- PhD in computer science mathematics statistics machine learning or equivalent quantitative field
- Knowledge of Python or R or other scripting language
- Experience in a least one area of Machine Learning (NLP Regression Classification Clustering or Anomaly Detection)
- Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems
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 $142300/year in our lowest geographic market up to $272400/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.
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
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