Manager III, Data Science - AMZ14164.12
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Description
Employer: Amazon Data Services, Inc.
Position: Manager III, Data Science - AMZ14164.12
Location: Herndon, VA
Multiple Positions Available:
1. Lead a team of data scientists in developing and
deploying machine learning models for infrastructure
capacity planning and demand forecasting at global
scale.
2. Design predictive models and statistical frameworks to
optimize resource utilization and inform long-term
infrastructure investment decisions.
3. Develop risk-based planning approaches utilizing
advanced statistical methods and ML techniques to
quantify uncertainty and set operational targets.
4. Build and maintain end-to-end ML pipelines for model
training, inference, and monitoring in production
environments.
5. Collaborate with engineering, product, and finance
partners to translate complex business requirements
into quantifiable metrics and automated decisionsupport systems.
6. Design experimentation frameworks and model
validation methodologies to ensure accuracy and
reliability of forecasts.
7. Lead weekly business reviews of model performance,
presenting findings and recommendations to senior
leadership.
8. Manage and mentor a team of data scientists and
engineers across multiple levels, driving best practices
in ML development, code quality, and production
deployment.
9. Utilize Python, SQL, and cloud-based ML infrastructure
to deliver scalable data science solutions.
(40 hours / week, 8:00am-5:00pm, Salary Range $175100 - $236900)
Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
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Position: Manager III, Data Science - AMZ14164.12
Location: Herndon, VA
Multiple Positions Available:
1. Lead a team of data scientists in developing and
deploying machine learning models for infrastructure
capacity planning and demand forecasting at global
scale.
2. Design predictive models and statistical frameworks to
optimize resource utilization and inform long-term
infrastructure investment decisions.
3. Develop risk-based planning approaches utilizing
advanced statistical methods and ML techniques to
quantify uncertainty and set operational targets.
4. Build and maintain end-to-end ML pipelines for model
training, inference, and monitoring in production
environments.
5. Collaborate with engineering, product, and finance
partners to translate complex business requirements
into quantifiable metrics and automated decisionsupport systems.
6. Design experimentation frameworks and model
validation methodologies to ensure accuracy and
reliability of forecasts.
7. Lead weekly business reviews of model performance,
presenting findings and recommendations to senior
leadership.
8. Manage and mentor a team of data scientists and
engineers across multiple levels, driving best practices
in ML development, code quality, and production
deployment.
9. Utilize Python, SQL, and cloud-based ML infrastructure
to deliver scalable data science solutions.
(40 hours / week, 8:00am-5:00pm, Salary Range $175100 - $236900)
Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
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