Manager III, Data Science - AMZ14164.12

Employer: Amazon Data Services, Inc.

Position: Manager III, Data Science - AMZ14164.12

Location: Herndon, VA

5 years of experience applying statistical and machine learning models to large-scale systems;

2 years of experience leading teams in a data science or machine learning environment;

5 years of experience building automated analytical or ML pipeline systems;

5 years of experience in SQL; and

5 years of experience in Python.

The pay range for this position in Herndon, VA is $175100 - $236900 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Virginia Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

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All applicants must meet all the above listed requirements.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

• Lead a team of data scientists in developing and

deploying machine learning models for infrastructure

capacity planning and demand forecasting at global

scale.

• Design predictive models and statistical frameworks to

optimize resource utilization and inform long-term

infrastructure investment decisions.

• Develop risk-based planning approaches utilizing

advanced statistical methods and ML techniques to

quantify uncertainty and set operational targets.

• Build and maintain end-to-end ML pipelines for model

training, inference, and monitoring in production

environments.

• Collaborate with engineering, product, and finance

partners to translate complex business requirements

into quantifiable metrics and automated decisionsupport systems.

• Design experimentation frameworks and model

validation methodologies to ensure accuracy and

reliability of forecasts.

• Lead weekly business reviews of model performance,

presenting findings and recommendations to senior

leadership.

• Manage and mentor a team of data scientists and

engineers across multiple levels, driving best practices

in ML development, code quality, and production

deployment.

• 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)

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A Master’s degree or foreign equivalent degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related quantitative discipline and 5 years of experience in the job offered or related occupation. In the alternative, a Bachelor’s degree or foreign equivalent degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related quantitative discipline followed by 7 years of progressively responsible experience in the job offered or related occupation.